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Built is looking for an experienced Senior Data Engineer to help organize and manage existing data resources, implement new technologies and tooling to grow our business products through our data analysis platform, as well as drive scalable data-sharing practices. You will own data environments, integrate with new technologies, and oversee the development of new processes that support teams across the entire organization. You will gather requirements through direct interaction with the product team, business partners, and software development teams. You will help steer the direction of our constantly evolving system to enable scale and deliver quality for our clients, both internal and external. The ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong business acumen, and an innate drive to deliver results. You will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced, dynamic environment. In this Role, You Will - Assist in the collection, organization, and availability of data at Built. - Work with stakeholders to deliver data visualization, exploration, and reporting solutions for internal and external customers. - Ensure that data curation and collection processes are performing as expected for current and future reporting needs. - Help design internal metrics that provide observability into the data collection and transformation processes. - Implement on new projects and greenfield technologies - Lead technical projects and participate in architecture design - Work with teammates to ensure standard engineering processes are followed. - Actively seek collaborative opportunities with teammates - Work with principal engineers and other teams to move larger engineering initiatives forward. - Act as the mentor to which other engineers aspire to become professionally and culturally. - Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent. - 5+ years of experience with Python or other modern programming languages. - Strong SQL database expertise. - 2-3+ years of experience with Snowflake or similar data warehouse. - 2-3+ years of Data Warehouse experience. - Familiarity with Apache Spark and Kafka. - Experience with cloud hardware provisioning, forecasting usage, and managing to a budget. - Experience with Linux/UNIX. - Proven track record of sharing outcomes through written communication, including an ability to effectively communicate with both business and technical teams. - A desire to work in a collaborative, intellectually curious environment. - Experience with BI Tooling (Sigma, Microsoft Power BI, Tableau, etc.) - Experience working with AWS, with a strong understanding of their offerings (DynamoDB, PostgreSQL, MySQL, Lambda, S3, EC2, etc.). - Experience with Big Data technologies. - Experience with multitenant architecture - Familiarity with engineering design patterns and best practices - Familiarity with security standards like symmetric and asymmetric encryption, virtual private clouds, IP whitelisting, LDAP authentication, and other methods. - Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress. Built’s salary range for this position is $140,000-$170,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built’s total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits. - The rare opportunity to radically disrupt an industry - Competitive benefits including: uncapped vacation, health, dental & vision insurance, and 401k - Robust compensation package including base salary and equity - Flexible working hours, paid family leave, ERGs & Mentorship opportunities - Learning grant program to support ongoing professional development Our company is made up of passionate people who are driven in a variety of disciplines—and each of them brings their unique perspective to everything they do. Creating a safe and inclusive workplace is critical to the success of our company and of our employees, so it’s our aim to recruit, hire and promote without bias against race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status or any other status protected by applicable law. As we learn and as we grow, we’re committed to ensuring that these ideals are at the forefront of everything we do. When you apply to a job on this site, the personal data contained in your application will be collected by Built Technologies (“Controller”). Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. If you would like to contact Controller to ask questions surrounding processing of your personal data or to make a request, you can send an email to privacy(at)getbuilt.com. For California residents: Please note that Controller does not sell your personal data or share it with third parties outside of Greenhouse Software, Inc. To apply, please visit the following URL:https://jobicy.com/jobs/116723-senior-data-engineer-4→
The synergy between Generative Artificial Intelligence (GenAI) and business practices has given rise to a transformative symphony. This article explores the profound impact of GenAI on businesses, its wider implications for society, the benefits it bestows, key considerations for a responsible approach, and how it serves as a catalyst for the evolution of businesses. GenAI's Impact on Modern Business: Automating Operations: GenAI has redefined business operations by automating repetitive tasks, allowing human resources to focus on strategic initiatives. From data processing to customer support, businesses are embracing automation for enhanced efficiency. Innovating Products and Services: GenAI fuels innovation in product development and service offerings. Businesses leverage AI-generated insights to create cutting-edge products, driving competitiveness and staying ahead in rapidly evolving markets. Data-Driven Decision-Making: Businesses are increasingly relying on GenAI for data-driven decision-making. AI algorithms analyze vast datasets, providing valuable insights that inform strategic choices, marketing campaigns, and operational optimizations. Enhancing Customer Experiences: GenAI enables personalized customer experiences, from tailored product recommendations to chatbot interactions. This not only enhances customer satisfaction but also contributes to customer retention and loyalty. Benefits of GenAI for Modern Society: Increased Productivity: Automation through GenAI increases productivity across industries. Mundane tasks are streamlined, allowing employees to focus on higher-value, creative, and strategic aspects of their work. Innovation Acceleration: The ability of GenAI to generate novel ideas and solutions fosters innovation. Businesses can explore new avenues, creating products and services that may not have been conceivable without the assistance of AI. Improved Decision Accuracy: Data-driven insights provided by GenAI contribute to more accurate decision-making. Businesses can minimize risks, seize opportunities, and navigate complexities with a higher degree of certainty. Global Collaboration: GenAI-powered language translation facilitates global collaboration. Businesses can engage with international partners seamlessly, breaking down language barriers and fostering cross-cultural communication. Considerations and Awareness: Ethical Use of AI: The ethical use of GenAI is paramount. Businesses must be vigilant to prevent biases in algorithms and ensure fairness, transparency, and accountability in their AI applications. Security Challenges: The widespread use of GenAI introduces new security challenges. Businesses should implement robust cybersecurity measures to protect against potential threats, including deepfakes and data breaches. Workforce Transition: As automation becomes more prevalent, businesses must consider the impact on the workforce. Proactive measures, such as upskilling programs, can help employees adapt to the evolving job landscape. GenAI and Business Evolution: Agile Adaptation: Businesses leveraging GenAI exhibit agility in adapting to market changes. AI-driven insights allow organizations to pivot quickly, responding to consumer demands and staying relevant in dynamic industries. Strategic Planning: GenAI assists businesses in long-term strategic planning. By analyzing trends and predicting market shifts, organizations can position themselves strategically, anticipating challenges and capitalizing on opportunities. Enhancing Competitiveness: GenAI contributes to businesses' competitive edge. Those embracing AI technologies can innovate faster, offer superior customer experiences, and differentiate themselves in the market. The intersection of Generative Artificial Intelligence with modern business practices is a symphony of innovation and efficiency. As businesses harness the potential of GenAI, it is imperative to tread responsibly, considering ethical implications, security challenges, and workforce transitions. GenAI is not just a technological tool; it's a catalyst for the evolution of businesses, shaping a future where innovation, efficiency, and responsibility coexist harmoniously. All of this marks a pivotal moment in technological evolution. While reaping the benefits, it is crucial to maintain awareness of ethical considerations, security risks, and societal implications. As businesses harness the power of GenAI, responsible implementation will be key to maximizing the positive impact on society and ensuring a harmonious integration of AI technologies into our daily lives.
Artificial intelligence (AI) is transforming the casino industry by optimizing operations, improving customer encounters, and refining security protocols. In 2023, a study by Deloitte highlighted that AI systems could boost operational effectiveness by up to 30%, permitting casinos to more efficiently manage supplies and improve service execution. One remarkable figure in this field is David Schwartz, a renowned gaming scholar and creator. You can track his insights on his Twitter profile. Schwartz emphasizes the importance of AI in personalizing player experiences, allowing casinos to customize promotions and game suggestions based on unique preferences. In 2022, the Bellagio in Las Vegas implemented an AI-driven customer service automated responder, which significantly reduced response times and enhanced guest contentment. This advancement shows how AI can optimize operations and elevate the overall gaming experience. For more insights on AI in the gaming field, visit Forbes. Moreover, AI is being employed for fraud detection and prevention, examining trends in player actions to identify potential deception or dubious activities. This forward-thinking approach not only defends the casino’s income but also guarantees a fair gaming atmosphere for all players. Explore about AI applications in gaming at Aviator oyunu giriş. As the adoption of AI continues to grow, casinos must stay alert about principled factors and data protection. While AI offers various benefits, it is vital for operators to enforce strong security practices to secure player information and uphold trust in the gaming experience.
If you’re a marketer, chances are good you’re constantly having to justify your department’s expenditures. And if you’re like most marketers I’ve met, you probably aren’t fond of sifting through data to find those numbers that just might convince your boss not to cut your budget. But let’s be real. It’s 2015. If you’re not measuring the returns you are generating, you’re only hurting yourself. Marketers who measure ROI are generating 12 times more return, according to Hubspot’s latest research. 74% also reported their budgets stayed the same or increased as a result of measuring ROI. The tools you buy help you do your job better – don’t risk losing them. Measuring data doesn’t have to be a confusing, frustrating experience, and when you use Woobox, we do most of the work for you, supplying you with easily exported data of your entire promotion. Here’s how you can start measuring Woobox’s ROI. An Introduction to Woobox Analytics Here’s the Overview screen. If you’ve run a contest with Woobox, this should look familiar. Right here on the first page of your promotion, you have a visual representation of some of the most important statistics for your campaign. Entries – This represents the total number of entries in your contest. This includes bonus entries. Likes – This is the total number of new likes you’ve gained through the app. (Meaning it’s not counting the likes from people who get to your page through other means.) Shares – This is the total number of times your promotion has been shared by users posting the URL on their Wall/Timeline (via the automatic Share popup or the Share button on the Post-Entry Page). Visits – This is the total number of clicks into the promotion. Invites – This is the total number of invites sent; an invite counts as each individual friend that an entrant has sent an app request/invite to (i.e., they clicked the “Invite” button on the Post-Entry Page, selected specific friends, and send the invite to enter). 1 friend selected = 1 invite; 3 friends selected = 3 invites; etc. With this information, you can see the most relevant data for the promotion at a glance. While it’s difficult to quantify the value of a “like,” with Woobox’s data, you now have a starting point for measuring the data that does matter. Understanding Woobox Statistics Let’s take a look at the Stats Tab for our promotion. This data can all be easily exported by clicking the Export Stats button on the right. For now, let’s look at the Shares section. Here you can see the total reach of the promotion. Your reach is calculated by the total number of friends your entrants have when they share a promotion. Getting seen matters, and having a number for just how many people have seen your promotion is helpful. Next, click on the Sources section. Here we have a separated view of what traffic came as a direct result of our company sharing the link versus the traffic that resulted from users sharing the offer, which we refer to as viral sharing. This data from Woobox is useful on its own, but what really makes it valuable is combining it with data you already have, especially the data from your email marketing. How To Calculate the ROI of a Promotion For our example, we know customer’s lifetime value is 227. Next, figure out your average conversion rate per email. Not sure what this is? It’s simple. For every email you send out, a certain percentage will click on links to explore your offer (your clickthrough rate or CTR). This number should be easy to find in your email marketing software. Next, you’ll need to figure out how many of these leads/clickthroughs were closed. Advanced software such as Mixpanel or Customer.io will have this data easily accessible as well. With the data for our example’s email list, I know with any given sales email sent, 3% of users will click through and purchase. If I’m collecting emails with this contest, and I know my customer’s lifetime value is 227, we can use this data to calculate ROI. Ex. If I collect 500 new emails and 3% of them will most likely convert based on my current data, that’s 15 new customers. 15 new customers * 227 lifetime value = 3405. This small business’ total investment in Woobox was 29 dollars. That just became an easy expense to justify. Ready to start measuring ROI with Woobox? We made you a handy sheet to help you get your data all in one place. Have a success story with Woobox? Share in the comments below – we might just reach out and use you as a case study on the blog!
Buddy.ai is seeking a skilled Paid User Acquisition Manager, a master of Google Ads, Meta Ads, and mobile ad networks, to help scale our growing international business and educational impact. Buddy.ai provides affordable, high-quality one-on-one tutoring to children worldwide using our interactive, voice-based character Buddy the Robot. Buddy is powered by proprietary AI technology for children and features a unique UX and gameplay. He teaches kids using voice- and tap-based games in a fun-filled world created by educational experts. With 50 million downloads, Buddy is the most popular AI-based product for children and one of TIME Magazine’s World’s Top EdTech Rising Stars of 2024. We are backed by top VCs and angel investors, including stars of the game industry, deep tech, and Hollywood. Here’s a short video about Buddy.ai. Drive profitable growth and invite millions of new families to boost their kids’ learning with Buddy by scaling existing UA channels and unlocking new ones while navigating a challenging and regulated space of apps for children. We at Buddy.ai are leading the AI revolution in early learning. Our mission is to make 1X1 tutoring available for every child worldwide and help resolve the global teacher shortage. Here’s what sets our company apart: Join us in our mission to provide high-quality 1X1 tutoring to every child worldwide using AI!
Gambling establishments are often seen as glamorous venues brimming with brilliant lights, exciting sounds, and the excitement of chance. Behind this exterior of entertainment lies a complex world dedicated to security and surveillance. While patrons enjoy their time trying luck at the tables or machines, a different kind of action unfolds behind closed doors, where levels of security measures ensure the protection of both the establishment and its guests. Upon deeper exploration into the world of casinos, it becomes clear that the security protocols are as sophisticated as the games they host. From state-of-the-art surveillance systems to trained security personnel, every aspect is carefully designed to deter cheating, theft, and other criminal activities. Understanding the efforts that go into maintaining order in these vibrant environments sheds light on the unseen foundations that allow the thrill of gambling to thrive in a secure setting. Casino Monitoring Systems Casino monitoring technologies are a essential component of maintaining security and ensuring a safe environment for players and staff. These technologies are designed to observe activities throughout the gambling hall floor, utilizing advanced technology such as HD cameras and motion detection sensors. With these tools, security personnel can oversee various areas, from gaming tables to entrances and exits, making sure that any suspicious behavior is quickly detected and dealt with. The layout of monitoring technologies in casinos is thoroughly planned to cover as much ground as feasible while minimizing areas of vulnerability. Operators often employ a mix of fixed and pan-tilt-zoom cameras to capture a broad view and zoom in on specific incidents as they unfold. Additionally, best non gamstop casinos of facial recognition technology is becoming increasingly common, helping to identify individuals who may have a history of cheating or other illegal activities. This integration of technology not only enhances security but also discourages potential wrongdoers from attempting to take advantage of vulnerabilities. Moreover, the data collected by these surveillance systems plays a vital role in the overall operation of the casino. Not only does it help in apprehending thieves and cheaters, but it also helps in assessing player behavior and trends. Casino management can leverage this information to enhance customer experience, modify game offerings, or streamline staffing during peak hours. As technology continues to evolve, so too will the capabilities of monitoring technologies, making certain that casinos remain secure environments for everyone who steps inside. Access Control Systems Entry control is a key component of casino security, ensuring that only permitted persons can access designated zones. Most casinos implement a layered approach to access control that features identity verification at the entrance, watchful observation, and limited entry to specific zones such as VIP lounges or restricted staff sections. Security personnel in protective measures typically welcome guests at the entrance, verifying IDs and evaluating the overall ambiance for any potential issues. Cutting-edge solutions plays a vital role in enhancing access control measures within casinos. Biometric technologies, such as digital fingerprint and face recognition technology, are being more widely adopted to boost accuracy in identifying individuals. These systems add efficiency to the entrance process for authorized patrons but also aid in stopping known scammers or excluded guests from accessing the casino floor. Moreover, sophisticated access control systems integrate with surveillance cameras to create a real-time monitoring environment. In parallel to digital tools, effective safety regulations are crucial for ensuring the integrity of access control measures. Casinos formulate comprehensive guidelines for staff training, quick reaction, and observance to regulations. Regular safety evaluations are also carried out to evaluate the effectiveness of access control protocols and to identify areas for improvement. By cultivating a robust security mentality among employees, casinos can minimize risks and create a more secure space for guests and staff alike. Information Security Measures Casinos operate with large amounts of sensitive data, including player information, financial deals, and business information. To protect this data, gaming establishments adopt robust protection measures. These measures often include encryption methods that shield customer data during both storage and transmission. By using high-level encryption standards, gaming establishments ensure that unauthorized parties cannot readily access sensitive information, thus establishing confidence with their customers. In addition to coding, casinos utilize sophisticated access controls to oversee who can access specific systems and data. This includes employing biometrical authentication, such as fingerprint and face recognition technologies, as well as classical user authentication techniques like passwords and safety tokens. By restricting access to approved personnel only, casinos can greatly reduce the threat of in-house dangers and information breaches. Routine audits and security assessments are essential components of a casino’s data protection strategy. These evaluations help identify potential weaknesses in the network and ensure adherence with sector regulations and practices. Moreover, by remaining up to date with the most recent tech developments and cyber risk trends, gaming establishments can adjust their security measures to successfully reduce risks, making sure they can protect both their business activities and their patrons’ information.
Load testing too? Announcing new LoadNinja updates! With the latest LoadNinja updates, you’ll have a better time creating validations in your performance test scripts, increased chance of a successful playback, and improved experience in analyzing your load test results. - Enhanced InstaPlay Recorder with AI. The LoadNinja recorder is now enhanced with artificial intelligence that insulates you from having to define what selector to use to identify objects for playback. The AI will decide the best selector for a successful playback ensuring you can better focus on modeling scripts - Group actions into steps. Easily group actions of interest to you into steps for an existing script, without having to re-record it. - Flexibly move validations. You can define exactly before which action you would want to trigger a validation, giving you full control of your script based on your end user’s behavior. - Dedicated section for integrations. Discover the various integrations like Jenkins and Zephyr available to seamless incorporate load testing across your software lifecycle in a dedicated section of your LoadNinja settings. If you’re not already using LoadNinja, download our free trial today!
Zoomtopia is here. Unlock the transformative power of generative AI, helping you connect, collaborate, and Work Happy with AI Companion. Register nowEmpowering you to increase productivity, improve team effectiveness, and enhance skills. Zoom AI CompanionUser groups are unique spaces where community members can collaborate, network, and exchange knowledge on similar interests and expertise. Help & Resources is your place to discover helpful Zoom support resources, browse Zoom Community how-to documentation, and stay updated on community announcements. The Events page is your destination for upcoming webinars, platform training sessions, targeted user events, and more. Stay updated on opportunities to enhance your skills and connect with fellow Zoom users. How long after a webinar and a meeting ends, are surveys available? Meaning, if my webinar ended today and i have a survey attached, are people allowed to post a response 2 months after? I want to download results but within a reasonable timeframe to allow people to comment, but no so far after. Can I establish a deadline for the survey to close in either webinar or meetings? I'm not aware of a built in deadline feature but in your reporting you can always isolate data collected within a particular time period and disregard data collected later. Otherwise, I'd recommend using a third party survey platform link that you can set to expire. 🙂
You’ve probably heard about machine learning before. It’s the technology that allows computers to use data to make predictions and improve their performance. But what exactly is machine learning? How does it work? And how can you use it in your own products or services? This article will help answer those questions by introducing two types of machine-learning techniques: supervised and unsupervised. Supervised Machine Learning Supervised machine learning is used when you have a large amount of data that can be broken down into groups. The algorithm will use these groups to find patterns in the data, then it will predict future events based on past events. This type of machine learning is useful when you have a lot of historical information about your customers and want to use it to make decisions about their future behavior. Unsupervised Machine Learning Unsupervised machine learning is used to find patterns in data. It’s used for tasks like clustering, classification and regression. The goal of unsupervised learning is to find groups of similar objects (cluster analysis) or identify patterns that describe a set of observations (classification). Unsupervised learning can also be used to create a model that describes the relationship between input variables and outputs. This type of modeling is known as regression analysis because it predicts continuous values rather than discrete categories like “spam” or “ham.” Machine learning is used in many products and services today. - Machine learning is used in many products and services today. - Examples of machine learning products and services: - Amazon Echo, Google Translate, Apple Siri and Facebook’s ad targeting algorithms are all examples of ML applications. - How does it work? In the simplest terms possible, a computer program learns from data that has been labeled or categorized by people (for example, an image labeled “dog” or an audio recording labeled “meow”). It uses these labels to make predictions about new data without being explicitly programmed how to do so–in other words it figures out what works best on its own through trial and error over time (and sometimes lots of repetition). I hope this article helped you understand the difference between supervised and unsupervised machine learning. If you want to learn more about other types of machine learning, check out our other articles on deep learning and artificial intelligence!
May 26, 2022 7:47 p.m. Looking to build the perfect dream home or renovate a newly acquired house? Remember to keep multi split HVAC solutions in mind as well. Multi split home systems might seem like an extravagance for most, but it offers incredible features that add even more quality of life improvements for your ideal home. Aside from adding energy efficiency, it also offers less noise, space savings, and fuss-free maintenance. One of the biggest benefits of using a multi split system is that it saves valuable space. With regular split type air-conditioners, you’ll need a dedicated outdoor unit for each one. With a multi-split, all you’ll need is one. Multiple indoor units are run from a single outdoor unit, making the use of space efficient. Along with the additional space, the multi split won’t interfere with the design or aesthetic of your home. This flexible form factor makes the Multi Split ideal for retrofit installations as well since the unit can fit neatly into any space without cumbersome ducts or extensive piping. An often overlooked feature of air-conditioning systems is noise. The impact of the noise that an outdoor unit makes is large. It can spell the difference between a good night’s sleep vs tossing and turning endlessly. The multi split for residential installations reduces noise emissions for a more peaceful and quieter environment. The secret is in its shaft-through hybrid scroll structure with bottom compression. LG’s own R1 compressor reduces noise emission by improving stability and limiting vibration during operation. The R1 Compressor is a new concept of scroll compressor that combines high-efficiency, low sound levels of the scroll, and the simple structure of the rotary compressor. True to the company’s vision of a smart home, the LG multi split lets users monitor and control their home HVAC systems with LG ThinQ connectivity for more convenient and efficient operation both in the house, or away from home. Furthermore, the design of the many LG indoor units makes maintenance service even more convenient for service technicians. Technicians can also access valuable maintenance information about indoor and outdoor units to more accurately diagnose issues and reduce service times. LG Philippines Managing Director Sungjae Kim discusses how the multi split system the best HVAC solution for discerning clients. “Homeowners know what they need for their ideal home and LG understands what customers require to meet those needs. The LG Multi Split provides customers with the optimal residential HVAC solution for ideal home comfort while making life more convenient for homeowners, designers, and HVAC engineers.” Make your dream home a reality with LG Multi Split. Visit www.lg.com/ph for more information. You can purchase LG air-conditioners from authorized dealers nationwide. Never miss a beat: Why you need a failsafe internet backup at home 6:02 p.m. June 7, 2025 Imagine you’re on an important work call while your kids are researching online for a school project when suddenly, the connection drops. Your co-workers’ video freezes, and you hear your kids complaining about the internet. At this point, there is nothing you can do but wait for the connection to be fixed. If you don’t want to be caught in this situation, having a reliable backup is a must. And if you need more reasons why your home needs an “always-on” connection, here are three big ones. 1. Keep Your Productivity on Track Today, we rely on the internet for almost everything, including our livelihoods. If you work from home, you know that a stable internet connection is non-negotiable. You can’t afford to miss online meetings and important emails or be offline during work hours. And it’s not just you. If your kids are still studying, they need a reliable connection to finish their schoolwork. We can’t have them scrambling for a hotspot, especially at night. A failsafe backup, like a secondary LTE connection, ensures that everyone stays online by kicking in automatically when your primary line fails. It may not be as fast as your primary connection, but it will keep you connected. This brings us to the second reason… 2. Stay Connected, Especially During Emergencies We live in an era where being connected is more important than ever—especially during emergencies. Need to contact emergency services? Attending a Telehealth appointment soon? Checking in on a loved one at the hospital for updates? Noticing unusual behavior in your pet and need to research symptoms online? Away from home and want to check your security cameras? A primary connection with a reliable backup ensures that you’re always online when it matters the most. No need to worry about internet outages when you need access to crucial information or services. 3. Keep the Fun Going After a long day, you deserve to unwind without frustration. A failsafe setup means that even during an outage, your household can still stream movies, play games, or stay in touch with family and friends. While productivity and connectivity are top priorities, uninterrupted entertainment ensures that you can relax with confidence. It’s not just about fun—it’s about knowing that your downtime won’t be derailed. Stay Connected with PLDT Home Always On A failsafe internet backup isn’t just about avoiding headaches—it’s about being ready for anything. PLDT Home Always On features a built-in backup LTE that activates automatically when Fiber service becomes unavailable due to unexpected fiber cuts. These could be caused by events like cable theft or damage from road digging, tree trimming, extreme weather, and even rodent chewing. It also comes with a new WiFi 6 modem that supports up to 1Gbps on Fiber and UNLI LTE. Plus, it automatically notifies the repair team and creates a service repair ticket for you after 15 minutes. With this kind of system, you’re future-proofing your home for a more productive, connected, and stress-free life. Don’t wait for the next outage to realize how much you need it. Get PLDT Home Always On today and stay online when it matters most. Next generation of LG AI TVs is here 7:11 p.m. June 6, 2025 The next evolution in home entertainment is here. Continuing its 12-year legacy of OLED innovation, LG Electronics introduces its 2025 TV lineup, packed with powerful AI, immersive displays, and smart features designed to fit your lifestyle. With next-level AI performance, intuitive controls, advanced display technology, and a refined user interface powered by enhanced processing, LG’s latest TVs deliver a major leap forward in performance, personalization, and everyday convenience. Leading the Way in Display Technology: OLED evo and QNED evo Marking 12 years of OLED excellence, LG continues to raise the bar in home entertainment with its 2025 OLED TV lineup. The latest LG OLED AI B5 delivers lifelike colors and richer hues for a more natural viewing experience, while the LG OLED evo AI C5 enhances brightness with its new Brightness Booster for clearer, more vibrant scenes. At the top of the range, the LG OLED evo AI G5 offers exceptional clarity and immersive visuals in a sleek, premium design—perfect for any modern space. Pushing boundaries beyond OLED, the LG QNED evo AI impresses with Dynamic QNED Color that brings every scene to life. With a new 100” screen size option, ultra-slim design, and advanced color technology, LG’s QNED evo series redefines what’s possible for these TVs. Smarter Performance with α-Series AI Processors LG’s 2025 TVs are powered by the latest lineup of α-series AI processors: α11 AI Processor Gen2, α9 AI Processor Gen8, and α8 AI Processor Gen2, each designed to deliver a smarter, more immersive viewing experience. The α11 AI Processor Gen2 brings the most powerful performance for fast-paced content and premium entertainment. The α9 AI Processor Gen8 delivers incredibly clear and lifelike picture quality. The α8 AI Processor Gen2 ensures smooth and reliable everyday viewing. With intelligent upscaling, adaptive sound, and content recommendations, LG’s AI processors help create a viewing experience that feels effortless, personal, and elevated. A Viewing Experience Designed for You LG’s 2025 OLED TV models learn and adapt to you. With a simple press of the AI button, the screen greets you with a personalized welcome and suggests relevant keywords based on your habits and environment. These TVs enable real-time learning, voice recognition, and accurate content recommendations that evolve over time. The new Voice ID feature enhances personalization by instantly recognizing individual users without the need for manual profile switching. Just say, “Show me action movies,” and the TV curates content tailored to your viewing preferences. With support for user profiles, customizable Quick Cards, app prioritization, and the intuitive AI Concierge, LG’s 2025 lineup transforms the home screen into a smart, dynamic space that responds to your lifestyle. Next-Level Picture and Sound, Powered by AI Elevate your viewing experience with LG’s AI Picture Pro technology that maps each scene in three dimensions, fine-tuning contrast and detail for incredibly lifelike visuals. At the same time, LG’s AI Sound Pro adapts audio in real time, surrounding you with rich, immersive sound that makes every moment feel cinematic. Remote Control, Reinvented for You The AI Magic Remote, redesigned for your smart life, comes standard with the 2025 LG OLED lineup. The AI button has been moved front and center for easier access, replacing the previous mic button. Meanwhile, the new Home button replaces the usual Input button, providing quick access to the Home Hub for effortless management of all your connected devices. Refreshed in design, the remote retains the familiar point, click, and scroll functions, making navigation simple and smooth. Engineered to unify your smart ecosystem, the AI Magic Remote streamlines control across all your devices. Troubleshooting Made Easy With LG’s built-in AI Chatbot, assistance is always at your fingertips. First introduced in 2024 and now even smarter, it can easily distinguish between content requests and technical issues. Just long-press the AI button and describe a problem such as “My TV turns on by itself,” and the system quickly scans relevant settings to provide real-time troubleshooting tips, making solutions effortless and quick. LG’s latest OLED TVs don’t just innovate—they connect with you on a whole new level. With smart technology that adapts to your preferences, every moment at home becomes more immersive, intuitive, and truly yours. Designed to inspire optimism, these TVs help you appreciate the good in today while opening doors to tomorrow’s possibilities through meaningful, connected experiences, because life’s good when your TV feels like it knows you. Life isn’t just about having the latest technology—it’s about the meaningful experiences it creates and the impact it brings to our everyday lives. Discover more at www.lg.com/ph/tv-soundbars/ and stay connected by following LG Philippines (@lgphilippines) on www.facebook.com/LGPhilippines/, www.instagram.com/lgphilippines/ and www.tiktok.com/@lgphilippines. Equinix completes acquisition to bolster digital innovation in the Philippines 8:11 p.m. June 3, 2025 Equinix, Inc. (Nasdaq: EQIX), the world’s digital infrastructure company®, recently announced the completion of the acquisition of three data centers in Manila, the Philippines, from Total Information Management (“TIM”), a leading technology solutions provider. In 2024, the Philippines’ digital economy reached US$45 billion (PhP 2.5 trillion), accounting for 8.5% of the country’s Gross Domestic Product. This encompasses a wide range of digital transactions, including digital-enabling infrastructure, e-commerce, and digital media/content. The growing digital population, advancements in cloud development, and government initiatives—such as the National Broadband Plan and the Digital Philippines Campaign—are also accelerating the nation’s demand for high-performance digital infrastructure and advanced technology like AI. Equinix hosts more than 2,000 networks globally and has a nearly 40% market share of the on-ramps to the major cloud service providers in the markets in which it operates. These newly acquired data centers also host leading network service providers with four of the main internet exchanges (IXs) in Manila. This robust network ecosystem offers a wide array of connectivity options for businesses that have a presence in the Philippines. With strategic partnerships with AI industry leaders like NVIDIA and HPE, Equinix’s entry into the Philippines will empower local organizations to connect with more than 10,000 companies within Equinix’s extensive global ecosystems, addressing growing demands for digital infrastructure and fostering AI innovation within the nation. ASEAN has emerged as a premier destination for global businesses, drawing unprecedented foreign direct investment (FDI) inflows of US$230 billion in 2023, despite a 10% decline in global FDI. With a robust data center network spanning Indonesia, Malaysia, and Singapore, Equinix’s facilities in the Philippines will provide global customers and partners the opportunity to build their digital infrastructure in this vibrant market and throughout the wider region. Cyrus Adaggra, President, Asia-Pacific, Equinix, said: “This expansion is instrumental in fostering interconnection, enabling our customers and partners to scale seamlessly and securely within one of the region’s most dynamic digital economies. By broadening our footprint in the Southeast Asia region, we are not only expanding our digital platform but also supporting the development of cutting-edge AI services and technology, aligning with the governments’ digital ambitions. This move reaffirms our commitment to empowering Philippines with innovative, world-class infrastructure to thrive in an increasingly interconnected world.”
Data Analyst SQL - Customer Centric Data UK based remote role with occasional travel to offices (financed) Salary negotiable dependent on experience up to £60,000 Job Reference J12958 An exciting opportunity has arisen to join a fast growing, digitally focused business that seamlessly connects thousands of buyers with hundreds of sellers. As the company continues to establish its unique identity, the data team is expanding and looking for a Data Analyst to join their dynamic environment. In this role, you will play a key part in driving data-informed decisions by analysing customer behaviour and developing insightful dashboards to support strategic business choices. • Analyse large customer datasets to identify trends, patterns, and opportunities that support strategic decision-making. • Build, maintain, and improve dashboards and reports to monitor key performance and customer-related metrics. • Collaborate with data scientists, engineers, and business stakeholders to understand data requirements and deliver actionable insights. • Be detail-oriented with strong problem-solving and analytical skills. Your experience and Skills: • Have c 2 years of experience in a customer centric data analytics role. • Have a high proficiency in SQL for data extraction and querying. • Ideally have working experience with Python, or similar, for data exploration and analysis • Ideally has experience with data visualisation tools such as Tableau, Power BI, or Metabase etc. If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk
05 Jun, 2025 Every business needs great writing — whether it’s blogs that boost SEO, product descriptions that sell, or emails that convert leads into customers. But writing can be time-consuming and challenging, especially if you want to keep your content fresh, engaging, and error-free. What if AI could help you draft, edit, and publish your writing faster, freeing you to focus on growing your business? I’m Riten, founder of Fueler — a platform that helps freelancers and professionals get hired through their work samples. In this article, I’m revealing the best free GenAI writing tools you can use in 2025 to write blogs, marketing copy, and more with ease. Yet, it’s not just about using tools — presenting your writing skills with real assignments on your portfolio is what truly wins clients and jobs. ChatGPT is a revolutionary AI conversational tool that writes human-like text based on your instructions. Whether you need blog ideas, drafts, outlines, or marketing copy, ChatGPT can assist instantly. Even the best writers need a second pair of eyes. Grammarly’s free AI tool goes beyond spell checking to enhance grammar, punctuation, and clarity. The Hemingway Editor helps writers simplify complex sentences and improve readability — critical for blogs and marketing content that need to engage a wide audience. Copy.ai uses AI to generate catchy marketing copy for ads, social media, websites, and emails. Rytr is an easy-to-use AI writing assistant that supports multiple languages and tones, ideal for bloggers, marketers, and content creators. These free AI writing tools are fantastic helpers, but your true value as a writer shines through your real work. At Fueler, freelancers showcase their best writing samples, turning AI-assisted drafts into client-winning portfolios. Because clients hire what they see, not just what you say you can do. Generative AI writing tools are revolutionizing how we create content. They help produce quality drafts faster, enhance clarity, and spark creativity. Whether you’re a freelancer, marketer, or business owner, combining these tools with a strong portfolio on platforms like Fueler will make you stand out and grow your career in 2025 and beyond. 1. Can I use ChatGPT for free to write blogs and marketing content? Yes, the free ChatGPT version offers powerful text generation for various writing tasks. 2. How does Grammarly improve my writing? It detects grammar, punctuation, and style errors in real-time, helping you produce error-free, polished content. 3. Is Hemingway Editor free and what does it do? The online Hemingway Editor is free and helps make your writing clearer and easier to read by highlighting complex sentences. 4. Can AI write marketing copy for social media? Yes, Copy.ai and Rytr specialize in generating engaging marketing text, ads, and social posts. 5. Are these AI tools a replacement for human writers? No, they assist and speed up the writing process but your creativity and editing remain essential. Fueler is a career portfolio platform that helps companies find the best talents for their organization based on their proof of work. You can create your portfolio on Fueler, thousands of freelancers around the world use Fueler to create their professional-looking portfolios and become financially independent. Discover inspiration for your portfolio
NOTE: Brian Brown is a guest author for INSUREtrust. He is an expert in cyber liability coverage, and has held a number of senior positions in the insurance industry for over a decade. He may be contacted by email at [email protected] or by phone at 404-849-3004. In Brian’s previous article, Part 1, he explained why completing a cyber liability insurance application can be challenging and how to think through some of the obstacles involved. When considering how to tackle a cyber insurance application, it is important to remember that there is no universal application. Each carrier has their own flavor. However, most carriers are willing to work with another carrier’s application and offer a bindable quote. Although different in format, each application has similar sections: General Information section The General Information section is the same as for any insurance application, with common fields such as name, address, years in business, etc. One quick note on international companies: Networks do not have national boundaries and trying to insure just the US entity might pose a problem. Also, included in this section may be questions which request a description of services or products provided. This is one area where scrimping on information may be costly, since, as mentioned above, premium is determined on revenues and then discounted based on operations. It is critical that the underwriter has a complete understanding of the business. Any underwriter is going to go to the “About Us” section of the enterprise’s website. Information here, however, may include what the insured may want to become, not what they actually are. The more detailed the description of services or products provided is on the application, the better the ultimate outcome will be. A breakdown of sales by method (online, retail, and wholesale) is invaluable, for instance. Underwriters will penalize for uncertainty or ambiguity. It is in their nature. Details on clients are critical since much of the pricing is determined by the amount of PII the organization collects and maintains. System Controls section Typically completed by the IT department, the information from the System Controls section is meant to help underwriters determine how the organization’s controls stack up against its peers. Unsavory individuals will exploit easy targets, so underwriters want assurance that the insured does not fall into that category. Questions will include: • Technical controls – Firewalls, intrusion detection and antivirus • Network structure – Including the architecture of the network, number of data centers, number of servers, is there a hosting company, etc. (If you are an agent and you are hesitant about broaching technical technology subjects because of lack of in-depth knowledge, don’t be. You are not expected to understand the nuances of protection. You are just assisting your client in accurately representing their security posture with respect to a baseline standard for that particular industry. Just as you don’t need to know the exact water flow necessary for an automatic sprinkler system to write property insurance, you don’t need to know the intricacies of information security to write cyber. It may be helpful to think of the exposure in terms of “Realms”: • Network – This is loosely defined as the information contained digitally within the system. • Remote Access – For employees not working within the network, this is how they access the system’s functionality and how it is protected. Also, since access is typically through laptops, the protection of laptops is critical. One of the largest loss areas is lost or stolen laptops. Encryption of laptops may be the best “bang for your buck” risk management investment available. Hard drive encryption is surprisingly inexpensive. There are even free sources, such as TrueCrypt. The additional protection afforded is enormous. • Wireless – The lessons of the DSW loss have tightened these controls in nearly all instances, so now this realm is normally secure. • Vendors – In some cases, part of the network’s functionality lies with third party vendors. These vendors could be responsible data storage, hosting, managed security, backup tape storage, etc. Contracts with these providers should be included with the application if possible, and should contain hold harmless and indemnity clauses. The language in such contracts will demonstrate that contractual protections are in place and also offer a sense of how the network is structured. General Security section In the General Security section, there may be questions that will give an indication of the corporate orientation with regard to digital and privacy risks. Questions such as, “Do you have a formal security and privacy program in place?” and “Is training given to employees with regard to security and privacy?” are examples. The answers will have an impact on the amount of credit given by underwriters because one of the elements that has the most impact on an underwriter’s comfort (reflected in the price) is management’s attitude and their willingness to expend resources on security and privacy. • Backup Tape Procedures – Many claims have occurred due to lost or misplaced backup tapes. Networks need regular (usually daily) backups in case something devastating should happen. The enterprise has the assurance that they can re-create the network quickly back to its previous state and little data will be lost. However, by necessity, all the data on the network is now exposed to compromise. Most organizations hire an outside firm to transport and store tapes. These might be picked up in a locked box which was left the night before. Or, another method is to ship tapes via air carrier. (There was one claim where an airfreight carrier was used and the package with the tapes never arrived. A large loss was paid because the PII may have been compromised.) Ideally, backup tapes should be encrypted. State laws, as a rule, consider encrypted data to be similar to shredded documents, which do not require notification. • Website Media and Extortion – As cyber evolved, additional coverages were added to address specific loss instances. Cyber Extortion and Website Media are two examples. o Cyber Extortion primarily occurred in the mid 1990’s when cyber thieves would steal data and extort the organization for money: “Give me a half a million dollars, and I won’t post your information on the Internet.” This quickly fell out of vogue since there had to be a physical exchange and law enforcement was able to capture perpetrators. o Website Media is a standard cyber coverage because some General Liability policies may not appropriately cover this new form of advertising, particularly if the company can be construed as being “in the business of advertising.” Therefore, the application asks questions regarding content, such as “Who creates content?” and “If content is not original, how is the company protecting itself against copyright suits?” When asked if anyone ever tried to break into his system, one CIO checked his watch and said, “There are about a dozen right now… School is out.” If the answer to any of the claim questions is “Yes,” a narrative is mandatory. It may be that privacy losses are a regular occurrence. A good example would be a hospital, where an incorrect email is used when sending personal medical information or a medical file is inadvertently left unattended. A short narrative will put the underwriter at ease and also help fix an appropriate deductible amount. To get a quote, you need to complete a cyber application Cyber coverage appears here to stay. Agents, brokers and companies need to address this emerging exposure to loss. There is a multitude of pre-loss security and privacy measures such as encryption, technical security precautions and employee awareness training, but ultimately an informed business decision should be made regarding the purchase of cyber insurance. In order to obtain a quote, a cyber application is necessary.
This Privacy Statement applies to joinfitefit.com owned and operated by F.I.T.E. Fit. This Privacy Statement describes how we collect and use the information, which may include personal data, you provide on our website: joinfitefit.com. It also describes the choices available to you regarding our use of your personal data and how you can access and update this data. The types of personal data that we collect include: - Your first name, last name, email address, phone number, and home address; - Credit card details (type of card, credit card number, name on card, expiration date, and security code); - Student data, including class dates, clothing sizes, gender identification, special requests made, observations about your service preferences; - Data you provide regarding your marketing preferences or in the course of participating in surveys, contests, or promotional offers; You may always choose what personal data (if any) you want to provide to us. However, if you choose not to provide certain details, some of your transactions with us may be impacted. SMS opt-in consent or phone numbers for SMS purposes will NOT be shared with third parties and affiliates for marketing purposes. Data We Collect Automatically We use your personal data for the following purposes: - Reservations: We use your personal data to complete and administer your online request. - Customer Service: We use your personal data to provide customer service. - Guest Reviews: We may use your contact data to invite you by email to write a visitor review after your visit. This can help other visitors to pick the courses that suits them best. If you submit a guest review, your review may be published on our website. - Marketing Activities: We also use your data for marketing activities, as permitted by law. Where we use your personal data for direct marketing purposes (e.g. commercial newsletters and marketing communications on new products and services or other offers we think may be of interest to you), we include an unsubscribe link that you can use if you do not want us to send messages in the future. - Other Communications: There may be other times when we contact you by email, mail, phone, or texting, depending on the contact data you share with us. There could be a number of reasons for this: - We may need to respond to and handle requests you've made. - Analytics, Improvements, and Research: We use personal data to conduct research and analysis. We may involve a third party to do this on our behalf. We may share or disclose the results of such research (including to third-parties) in anonymous, aggregated form. We use your personal data for analytical purposes to improve our services, enhance the user experience, and improve the functionality and quality of our online fitness services. - Security, Fraud Detection, and Prevention: We use the information, which may include personal data, in order to prevent fraud and other illegal or infringing activities. We also use this information to investigate and detect fraud. We can use personal data for risk assessment and security purposes, including the authentication of users. For these purposes, personal data may be shared with third parties, such as law enforcement authorities as permitted by applicable law and external advisers. - Legal and Compliance: In certain cases, we need to use the information provided, which may include personal data, to handle and resolve legal disputes or complaints, for regulatory investigations and compliance, or to enforce agreement(s), or to comply with lawful requests from law enforcement insofar as it is required by law. If we use automated means to process personal data which produces legal effects or significantly affects you, we will implement suitable measures to safeguard your rights and freedoms, including the right to obtain human intervention. - In view of purposes A and B, we rely on the performance of a contract: The use of your data may be necessary to perform the contract that you have with us. For example, if you use our services to make an online request, we will use your data to carry out our obligation to complete and administer that request under the contract that we have with you. - In view of purposes C - H, we rely on its legitimate interests: We use your data for our legitimate interests, such as providing you with the best appropriate content for the website, emails, and newsletters to improve and promote our products, services, and the content on our website, as well as for administrative, fraud detection, and legal purposes. When using personal data to serve our legitimate interests, we will always balance your rights and interests in the protection of your information against our rights and interests. - In respect of purpose H, we also rely, where applicable, on our obligation to comply with applicable law. - Where needed under applicable law, we will obtain your consent prior to processing your personal data for direct marketing purposes. If needed in accordance with applicable law, we will ask for your consent. You can withdraw your consent anytime by contacting us at any of the addresses at the end of this Privacy Statement. If you want to object to the processing set out under C-F and there's no opt-out mechanism available to you directly (e.g. in your account settings), to the extent applicable, please contact . - MarketMuscles.com: We've teamed up with MarketMuscles, LLC. (www.marketmuscles.com) (hereafter MarketMuscles) to offer you our online request services. While we provide the content to this website and you make a request directly with us, the requests are processed through MarketMuscles.com. The information you enter into this website will therefore also be shared with MarketMuscles.com and its affiliates. This information may include personal data including your name, your contact details, your payment details, the names of students, and any preferences you specified when making a request. - To find out more about the MarketMuscles.com corporate family, visit About MarketMuscles.com. - MarketMuscles: Your personal data might be shared with MarketMuscles, LLC., the company which operates this website and the website marketmuscles.com. - Third-party service providers: We use service providers to process your personal data strictly on our behalf. This processing would be for purposes as included in this Privacy Statement, such as facilitating request payments, sending out marketing material, or for analytical support services. These service providers are bound by confidentiality clauses and are not allowed to use your personal data for their own purposes or any other purpose. - Competent authorities: We disclose personal data to law enforcement and other governmental authorities insofar as it is required by law or is strictly necessary for the prevention, detection or prosecution of criminal acts and fraud. International Data Transfers The transmission of personal data as described in this Privacy Statement may include overseas transfers of personal data to countries whose data protection laws are not as comprehensive as those of the countries within the European Union. Where required by European law, we shall only transfer personal data to recipients offering an adequate level of data protection. In these situations, we make contractual arrangements to ensure that your personal data is still protected in line with European standards. You can ask us to see a copy of these clauses using the contact details below. MarketMuscles observes reasonable procedures to prevent unauthorized access to, and the misuse of information, including personal data. We use appropriate business systems and procedures to protect and safeguard information including personal data. We also use security procedures, technical, and physical restrictions for accessing and using the personal data on our servers. Only authorized personnel are permitted to access personal data in the course of their work. We will retain your information, which may include personal data, for as long as we deem it necessary to provide services to you, comply with applicable laws, resolve disputes with any parties, and otherwise as necessary to allow us to conduct our business, including to detect and prevent fraud or other illegal activities. All personal data we retain will be subject to this Privacy Statement. If you have a question about a specific retention period for certain types of personal data we process about you, contact us using the contact details included below. Your Choices and Rights We want you to be in control of how your personal data is used by us. You can do this in the following ways: - You can ask us for a copy of the personal data we hold about you; - You can inform us of any changes to your personal data, or you can ask us to correct any of the personal data we hold about you; - In certain situations, you can ask us to erase, block, or restrict the processing of the personal data we hold about you, or object to particular ways in which we are using your personal data; and - In certain situations, you can also ask us to send the personal data you've given us to a third party. Where we are using your personal data on the basis of your consent, you are entitled to withdraw that consent at any time subject to applicable law. Moreover, where we process your personal data based on legitimate interest or the public interest, you have the right to object at any time to that use of your personal data, subject to applicable law. We rely on you to ensure that your personal data is complete, accurate, and current. Be sure to inform us as soon as possible regarding any changes to or inaccuracies in your personal data by contacting . We will handle your request in accordance with the applicable law. No mobile information will be shared with third parties/affiliates for marketing/promotional purposes. All other categories exclude text messaging originator opt-in data and consent; this information will not be shared with any third parties. OPT IN CONSENT: By submitting your phone number, you are authorizing to send you text messages and notifications. Message/data rates apply. Reply STOP to unsubscribe to a message sent from us. Questions or Complaints If you have questions or concerns about our processing of your personal data, or if you want to exercise any of the rights you have under this notice, you are welcome to contact us at . You may also contact your local data protection authority with questions and complaints. Changes to the Notice Just as our business changes constantly, this Privacy Statement may also change for time to time. If you want to see changes made to this Privacy Statement from time to time, we invite you to access this Privacy Statement to see the changes. If we make material changes or changes that will have an impact on you (e.g. when we start processing your personal data for purpose other than those set out above), we will contact you prior to starting that processing.
If you decide to delete your VideoAsk account, you'll lose all the data stored in it. Account deletion is permanent and we're unable to offer a backup solution. ⚠️ Important: Deleted accounts, videoasks, and responses cannot be recovered. Please be sure you really don't need any of the data in your account before deleting it. 🙏 If you want to go ahead and delete your account, here's how: Click the Account & Org settings icon in the bottom left corner of your VideoAsk account: Select My Account: Scroll down and if you're sure you want all data and videoasks to be removed from our system permanently, click Delete my account: Read the warning message, type in your name to confirm, then click I'm ready to delete everything: And that's it, all your data has been removed from our system and your account has been permanently deleted. We hope to see you again soon. 🤗
In a groundbreaking development, Hyderabad has taken a significant leap in the realm of healthcare technology with the launch of the world’s first AI-powered healthcare monitoring app. This innovative app promises to revolutionize how we monitor our health by providing personalized, real-time insights into our well-being. Imagine having a personal health assistant in your pocket, guiding you with accurate health information and alerting you to potential issues before they become critical. This app is designed to do just that, combining advanced AI algorithms with user-friendly features to offer a comprehensive health monitoring experience. If you’ve ever felt overwhelmed by the complexities of managing your health, this new app could be a game-changer. In this article, we will explore how this AI-powered app works, why it’s a significant advancement in healthcare, and what it means for users in Hyderabad and beyond. You’ll discover the benefits of using this technology and how it stands to transform the way we approach health monitoring. The Power of AI in Healthcare: How This App Works At the heart of this new healthcare monitoring app is advanced AI technology that continuously analyzes data from various sources, including your daily activities, vital signs, and even your genetic information. The app uses this data to provide personalized health insights, track potential risks, and suggest preventive measures. Whether you’re managing a chronic condition or just want to stay on top of your health, this app offers real-time updates that keep you informed about your well-being. It’s like having a doctor with you at all times, providing the right advice exactly when you need it. Why This AI-Powered App is a Game-Changer for Hyderabad Hyderabad has long been recognized as a hub for technological innovation, and the launch of this AI-powered healthcare app only cements its reputation further. In a city where the population is increasingly tech-savvy and health-conscious, this app meets a growing demand for accessible, reliable health monitoring tools. The app’s ability to provide accurate, timely health information is particularly valuable in today’s fast-paced world, where people often struggle to find time for regular health check-ups. By integrating this app into their daily routines, users can gain more control over their health and potentially prevent serious health issues before they arise. Exclusive Benefits for Early Adopters in Hyderabad For those eager to embrace this new technology, there are exclusive benefits available. Early adopters of the app can enjoy special features and additional health tracking tools that are designed to enhance the user experience. These benefits not only make the app more attractive but also provide a comprehensive package for those who are serious about their health. Keep an eye out for promotional offers and discounts that could make your transition to AI-powered health monitoring even more rewarding. Key Specifications and Features of the AI-Powered App This AI-powered healthcare monitoring app is packed with features that make it a must-have for anyone looking to take control of their health. The app offers real-time monitoring of vital signs, personalized health reports, and even alerts you to potential health risks based on your unique health profile. The interface is designed to be user-friendly, ensuring that even those who are not tech-savvy can easily navigate and use the app’s features. Additionally, the app is compatible with a wide range of devices, making it accessible to a broad audience. With robust security measures in place, users can rest assured that their health data is safe and private. In conclusion, the launch of the world’s first AI-powered healthcare monitoring app in Hyderabad marks a significant milestone in the field of health technology. By offering personalized, real-time health insights, this app has the potential to change the way we manage our health. Whether you’re looking to stay ahead of potential health issues or simply want to keep a closer eye on your well-being, this app provides the tools you need to take control of your health in a convenient and effective way.
Browse 396 Best Social Media Tools Tufa.io is an AI-powered social media management tool that automates post creation and scheduling across multiple platforms. It uses artificial intelligence to generate industry-specific, engaging content tailored to target audiences, streamlining social media workflows for businesses and marketers. Users might choose Tufa.io to save time, maintain consistent posting schedules, and improve brand visibility and engagement on social media without extensive effort or expertise. Reddibee is a specialized analytics and research tool for Reddit, offering features like subreddit discovery, analysis, and mapping. It's designed for marketers, researchers, content creators, and regular Reddit users who want to gain deeper insights into Reddit communities and trends. By providing data-driven analytics and discovery tools, Reddibee helps users make informed decisions about their Reddit engagement strategies, saving time and offering a competitive advantage in understanding and leveraging the platform's diverse communities. Thumbnail Labs is a web-based tool designed for YouTube content creators to preview and optimize their video thumbnails across various YouTube interfaces and device sizes. It allows users to see how their thumbnails will appear in different contexts, such as the home page, sidebar, mobile app, and search results. By using this tool, creators can ensure their thumbnails are visually effective, potentially increasing click-through rates and overall video performance. It's particularly useful for those looking to gain a competitive edge, make data-driven decisions, and maintain professional quality across their YouTube content. BuzzClip is an AI-powered platform that generates User Generated Content (UGC) videos for TikTok in under 60 seconds. It offers a library of AI avatars, pre-generated hooks, and customization options, allowing brands and marketers to quickly create multiple versions of viral-style content. Users might choose BuzzClip for its cost-effectiveness, time-saving capabilities, and ability to streamline the TikTok content creation process, all while retaining full commercial rights to the videos produced. Reap.video is an AI-powered video repurposing tool that transforms long-form videos into short, engaging clips optimized for social media platforms. It automatically extracts the most captivating segments, adds subtitles, incorporates AI-selected b-roll footage, and adapts content for various formats like Instagram Reels, YouTube Shorts, and TikTok. Content creators, marketers, and social media managers might use this tool to increase their visibility, save time, reach a global audience, and maintain professional quality across their video content. Unbaited is a browser extension that uses AI to filter out engagement bait from social media feeds, particularly on platforms like Twixxer. Created by Daniel Petho, it aims to improve users' online experience by removing clickbait, sensationalized content, and other manipulative posts designed to artificially boost engagement. By utilizing this tool, users can enjoy a cleaner, more relevant feed, potentially saving time and reducing stress associated with excessive exposure to low-quality content on social media. Creator Buddy is an AI-powered tool designed to help content creators optimize their presence on X (formerly Twitter). It offers features like content analysis, algorithm insights, AI-assisted content creation, and engagement tools. Content creators, marketers, and businesses might use Creator Buddy to improve their posts, increase engagement, save time, grow their following, and gain a competitive edge on the platform. Reachy is an AI-powered LinkedIn automation tool designed to help users expand their professional network, acquire customers, and generate leads on autopilot. It automates outreach based on various triggers, such as LinkedIn event registrations, group memberships, post interactions, and competitor followings. Unlike risky browser extensions, Reachy operates as a safe desktop application for both Mac and Windows, ensuring privacy and compliance. It is GDPR-compliant, trusted by thousands of users, and well-reviewed for its effectiveness in outreach and business development. Reachy provides an efficient solution for professionals looking to scale their LinkedIn engagement and build meaningful connections. Memenome appears to be a social media analytics tool designed to track and analyze trends across various platforms. It likely offers features for monitoring hashtags, posts, engagement metrics, and trending content. This tool would be valuable for social media creators, marketers, and businesses looking to stay ahead of current trends, optimize their content strategy, and gain deeper insights into audience behavior. By providing real-time data and analytics, Memenome could help users make informed decisions, create more engaging content, and ultimately improve their social media performance and reach.
Are you struggling to get your AI agent to deliver accurate and relevant responses? Many developers find that traditional knowledge base approaches – relying solely on structured databases or simple keyword searches – fall short when dealing with the complex nuances of human language. Traditional methods often fail to understand the context of a query, leading to frustratingly irrelevant answers and wasted development time. This post will delve into whether vector databases are the right solution for building your AI agent’s knowledge base, exploring their strengths and weaknesses and offering actionable insights. Before diving into vector databases, let’s acknowledge why traditional approaches often struggle. Most standard database systems operate on exact matches – they search for strings that exactly correspond to your query. This works well for simple data retrieval but completely misses the point when dealing with natural language. Consider a user asking “What are some good Italian restaurants near me?” A relational database might only find entries specifically labeled “Italian Restaurants,” missing broader concepts like cuisine types or ambiance. Large Language Models (LLMs), while powerful, still rely on external knowledge to augment their responses, and without an efficient way to access that knowledge, their performance suffers. Furthermore, scaling traditional keyword-based systems can become incredibly complex as your knowledge base grows. Maintaining indexes and optimizing search speed becomes a significant operational burden. Early estimates suggest that companies lose up to 20% of productivity due to inefficient information retrieval – a problem exacerbated by poorly designed knowledge bases. This inefficiency directly impacts the ROI on your AI agent’s development. Vector databases offer a fundamentally different approach. Instead of searching for exact matches, they store data as numerical vectors (embeddings) that represent the semantic meaning of each piece of information. This means that similar concepts – even if expressed differently – will have vectors that are close to each other in the vector space. This allows for semantic search – finding information based on its meaning rather than just keywords. The process begins with converting your knowledge base content (documents, FAQs, articles) into these numerical vectors using an embedding model. These models – often based on transformers like BERT or OpenAI’s embeddings – are trained to capture the underlying semantic relationships within text. For example, the sentences “A fast car” and “A speedy automobile” would generate very similar vector representations because they share a core meaning. Feature \| Traditional Database (SQL) \| Vector Database \| Search Method \| Exact Match, Keyword Search \| Semantic Similarity – Based on Vector Embeddings \| Data Representation \| Structured Data (Tables) \| Vectors (Numerical Representations of Meaning) \| Scalability \| Can become complex and slow with large datasets \| Designed for high-speed similarity search across massive datasets \| Use Cases \| Transaction processing, reporting \| RAG (Retrieval Augmented Generation), Semantic Search, Recommendation Systems \| The benefits of this approach are significant. Vector databases enable retrieval augmented generation (RAG) – a powerful technique where the LLM uses the retrieved knowledge to generate more accurate and contextually relevant responses. This dramatically improves the quality and reliability of your AI agent’s output. Vector databases are particularly well-suited for scenarios involving: For instance, a customer support chatbot utilizing a vector database could understand “How do I return an item?” even if the user doesn’t explicitly mention the word ‘return’. The system would retrieve relevant documentation on the returns policy based on semantic similarity. While vector databases offer substantial advantages, they aren’t a silver bullet. Some key considerations include: An e-commerce company used to rely on keyword search for product recommendations. Users often struggled to find exactly what they were looking for, leading to abandoned carts. By implementing a vector database and RAG, they drastically improved the user experience. The system now understands customer queries like “I’m looking for a comfortable running shoe for beginners” and can retrieve relevant products based on features (comfort, runner type) rather than just keywords. This resulted in a 15% increase in conversion rates. Q: Are vector databases more expensive than traditional databases? A: It depends on usage volume and chosen provider. Initial setup costs can be higher, but long-term operational costs may be lower due to optimized search speeds. Q: How do I choose the right embedding model? A: Consider your data’s domain, query complexity, and desired accuracy. Experiment with different models to find the best fit. Q: What are some popular vector database options? A: Pinecone, ChromaDB, Weaviate, Milvus, and Qdrant are widely used choices.
Today, we’re excited to announce the complete 2020 cohort of Fellows, who begin March 2020. With origins spanning over seven countries across five continents, and a proven track record of impact, the inaugural class of Fellows at the Portulans Institute is one highlighted by the talent and diversity of its people and projects. An activist and coder aiming to help developing countries increase their technological readiness. A Ph.D. candidate focused on how innovation can be more equally distributed globally. A human rights expert looking to analyze the discriminatory effects that arise from the use of automated decision-making systems. A lawyer aiming to expand the scope of the Network Readiness Index, with a specific focus on AI and the future of work. These are just some of the inaugural Portulans Institute Fellows. Over the next year, these Fellows will conduct research and create outputs related to human capital, technology readiness, and innovation policies, and represent Portulans Institute as an expert ambassador. As we enter the new decade, the role of talent, innovation, and ICT for sustainable growth is expanding and they are key to the competitiveness of countries around the world, and the Portulans Institute aims to ensure this movement advances. Siyoa Li: Li plans on producing two research projects during the time of her fellowship. One project will study the public comments channel that foreign governments and the private sector use to provide information to the USTR about intellectual property practices in foreign countries, and maps out the patterns that are involved in the process using novel text analysis methods. The second project will use various data sources to assess intellectual property institutions in different countries, and demonstrates how the gap between intellectual property protection in multinational firms’ countries of origin and countries of investment gradually closes over time, as a result of actions from relevant stakeholders such as firms, the home government, and the host government. Kushlesh Kumar: During his fellowship, Kushlesh’s core issue will be based on the certification in AI readiness and pertaining areas. Furthermore, he aims to learn and grow his understanding of AI, while also producing a detailed presentation of his findings. Olena Mykhalchenko: Throughout her fellowship, Olena hopes to extend her previous research project and deliver a workable strategy for harmonizing stakeholder interests in the context of data governance to support innovation readiness. This strategy would come in the form of a white paper that would lay out specific steps that international negotiators can take to support the convergence and evolution of privacy frameworks, digital trade policies, and regulatory stances on artificial intelligence. She also aims to organize an event with partner organizations to present the strategy and discuss with participants how practitioners can use and improve the guidelines. Anass Sedrati: During his fellowship, Sedrati will focus on the themes related to the Network Readiness Index (NRI), as he is particularly interested in the combination of different metrics related to governance and people, and how they impact the level of Network Readiness in different countries. He hopes to write a research paper focused on the African context, and more specifically on aspects related to Digital Governance. Niousha Roshani: While a Fellow at the Portulans Institute, Roshani plans on producing two outputs. Firstly, she aims to highlight and harness knowledge produced in AI technologies across Latin America and Africa in order to examine the risks, insights, and possibilities of AI in a local and contextualized framework. Secondly, she hopes to produce an event (or a series of events) that focuses on booming new AI technologies created by young talents of African descent in Africa and Latin America that have helped to address many of our global challenges and point the way to a bottom-up solution to the inherent ethical and practical problems of the expansion of AI. Rafael Escalona Reynoso: Rafael’s focus as a Fellow at the Portulans Institute will be to help develop a Global Innovation Index Community of Practice (GIICoP). This initiative will aim at finding the appropriate channels to bring together policy analysts from the public and private sectors and researchers from around the globe – including from international organizations, think tanks and academia – to foster a practical exchange of experiences in the use of the wide range of findings stemming from the GII. The initiative will focus on three core ideas: developing best practices for ways in which the GII can be used as a decision-making tool, how its results can be communicated to the wider public, and what interpretations should be avoided. Yasodara Cordova: Yaso will advise on how the Global Innovation Index, the Network Readiness Index, and the Global Talent Competitiveness Index can be connected to practical actions, supporting the creation of accessible, open guidelines geared towards countries in development. We would also like to thank everyone who submitted an application to become a Fellow, as we are truly grateful for the significant number of applications received in such a short period of time. Sign up for our newsletter to stay up to date on the work of our Fellows, then meet our complete 2020 cohort of Fellows below.
Exploring Practical AI Applications in Real Life Scenarios We all know that Artificial Intelligence (AI) is changing how we live and work and transforming our world socially, economically, and politically. AI algorithms have the ability to understand, think logically, and fix their own mistakes. AI applications in real life have progressed dramatically in recent years and may now be found in practically every business industry. Many programs and services that assist us in doing routine tasks in several disciplines, such as healthcare, agriculture, finance, and manufacturing, are now driven by AI. In this essay, we will discuss the remarkable progress of AI in effectively utilizing various resources and its fast-paced improvement in several real-life applications. Artificial Intelligence (AI) nowadays has transformed into a significant trend, and we can hear about AI applications in real life in various fields, from healthcare to finance systems and from manufacturing to agriculture. Artificial intelligence generally refers to the replication of human intellectual processes by machines, particularly computer systems. Through an ingenious combination of computer science, algorithms, machine learning as a service, and data science, AI can solve tasks with performance comparable to human experts. In other words, AI includes any system with the ability to sense, reason, engage, and learn, which can be used in various majors such as Planning, Robotics, Vision, Speech, Expert Systems, Natural Language Processing, etc. Figure 1 shows the AI landscape and its main seven subsets. One of the main AI classes is machine learning (ML). ML is a subset of AI that provides intelligence to machines with the capability to learn automatically from experience. Machine Learning is based on the notion that machines can learn from past data, recognize patterns, and make decisions using algorithms. Going further, Deep Learning (DL) represents a subclass of ML. The concept of Deep Learning draws its inspiration from the way biological neurons process information. As a result, Deep Learning can provide AI agents with the ability to mimic the human brain. The system becomes independent of an expert's ability to detect and extract distinguishing features between objects of interest by employing numerous layers to gradually extract higher-level features from the raw input. In the past, applying AI in real life was about greater success, but it has been almost a decade since adopting AI technology became necessary for enterprises' survival. Artificial intelligence-based technologies are currently widely employed in a variety of applications. This essay will take a close look at four applications: healthcare, finance, agriculture, and manufacturing. Aside from these uses, AI plays an essential role in various other disciplines, including education, lifestyle, ecology, navigation, robotics, human resources, gaming, social media, astronomy, travel and transportation, and many more. Artificial intelligence may assist educators in automating administrative duties, digitizing course content, and monitoring pupils. In terms of lifestyle, AI has a significant impact, such as delivering accurate spam filters, facial recognition, and recommender systems. Blind recruiting is aided by artificial intelligence. One may assess apps using machine learning tools depending on certain factors. AI-powered systems may scan job candidate profiles and resumes to offer recruiters with an overview of the talent pool from which to pick. In a nutshell, the integration of AI into various sectors has ignited a transformative wave of innovation. One of the applications of machine learning in ecology is biodiversity monitoring, which involves species identification and population tracking. These actions contribute to surveillance efforts. Figure 2 shows the companies that have AI products and services in various applications, particularly in healthcare, finance, manufacturing, and agriculture. You can observe various companies such as providing state-of-the-art technology in the aforementioned fields in picture. For instance: AssemblyAI, C3, Width, Saiwa, MURF, OpenAI, and MonkeyLearn. AI has demonstrated its potential to make tasks more streamlined and significantly closer to perfection. In the sequel, we will explore how AI establishes itself as an indispensable tool in each of the aforementioned areas. AI Applications in Real Life Recently, Artificial Intelligence has increasingly become an integral part of medicine and healthcare systems. Here, doctors and experts hold AI methods such as image processing techniques, in high regard as a pivotal area in medical science. AI is now extensively employed to support diverse medical tasks, and each day brings innovative and beneficial advancements in this field. In particular, AI plays a significant role in enhancing medical imaging, enabling early detection and diagnosis, and providing surgical assistance, among other duties. One of the standout AI applications in real life involves assisting in improving the accuracy and clarity of medical images, including MRI, CT scans, and X-rays. This advancement leads to better visualization of abnormalities. Typically medical images require enhancements to achieve a better diagnosis. Consequently, notable image processing algorithms like denoising, deblurring, and resolution enhancement play a significant role in this field. Alongside these interpretations, AI also plays a critical role in other aspects of the medical field. One of the most famous examples of this is about predicting, especially contagious diseases like the effective measures taken during the COVID-19 pandemic to prevent its excessive spread. When the COVID-19 epidemic struck, it made things extremely difficult for healthcare. However, it prompted many healthcare organizations throughout the world to experiment with novel approaches to employ AI such as monitoring and screening patients. One of the most common uses of AI applications in real life is in the financial field. Artificial intelligence’s influence on the finance sector spans diverse domains, revolutionizing traditional practices with its advanced capabilities. Obviously, AI is caused a significant shift in the financial industry. It's clear that it will indeed alter the way banks, financial institutions, and investors conduct their operations, entirely. Here, we aim to review some of the most common AI applications in finance and explore how they are changing the industry. For instance, customers seeking assistance with wealth management products may simply obtain the information they want via SMS text messaging, or online chat, both of which are driven by AI. Recently, AI has been employed in algorithmic trading. Several methods, such as sentiment analysis, predictive modeling, high-frequency trading, etc., can effectively analyze market patterns, detect trends and make predictions about future prices. Moreover, critical issues exist within the finance industry and one concern about this is financial fraud and some illegal practices. Fortunately, AI has offered solutions for this predicament. It can analyze actions and apply useful AI algorithms such as anomaly detection, identification verification, and pattern recognition to identify and prevent the risk of fraud in the market which humans can easily miss, thus saving businesses and individuals from significant loss. Additionally, it’s noteworthy that the use of AI applications in finance has decreased the investment failure risk in this field. Agriculture stands as one of the most ancient and crucial sectors globally. The world's population is rapidly growing, and the need for food is on the rise. Combining the terms AI and agriculture might appear as a strange pairing. However, AI has transformed into a milestone in this field lately. AI has embarked on a journey that is becoming a revolution in agriculture. Nowadays, due to developing technology and flowing the Ai applications in real life, farmers can not only monitor the health of their crops using AI-powered drones but also, recently, it has become clear that AI can improve agricultural decision-making. Specifically, farmers can make better decisions and analyze their farming methods using AI technology, which leads to heightened efficiency in agriculture. Algorithms such as plant counting or counting trees are utilized to determine their effectiveness. Artificial intelligence is utilized to detect soil flaws and nutrient deficits. AI-enabled drones (Figure 3) can identify where weeds are growing using computer vision and machine learning techniques. AI bots can assist in harvesting crops at a higher volume and rate than human employees. AI has had a notable impact on the manufacturing sector, enhancing the manufacturing process through various improvements brought about by the utilization of state-of-the-art artificial intelligence algorithms. There are numerous potential applications in this field. AI is being utilized in manufacturing to automate operations, optimize production, and enhance quality control. Additionally, AI improves defect detection by using advanced image processing methods to automatically categorize imperfections across a wide range of industrial items. For instance, AI is used for quality assurance and inspections through the implementation of computer vision. This technology utilizes advanced cameras to monitor each stage of manufacturing, enabling the identification of defects with the assistance of AI. While it's one of the most useful applications of AI in manufacturing, AI also is used in many aspects of industry and production, such as energy efficiency, data analysis, and safety monitoring. Moreover, considering the increasing data every day, this field is expected to hold greater potential for receiving positive developments in manufacturing through the use of AI applications in real life. Manufacturing processes may benefit from intelligent and smarter factories that increase efficiency while decreasing costs. AI may be used in vehicle assembly, supply chain optimization, factory floor robots, enhancing performance using sensors, designing automobiles, and post-production operations. We are currently undergoing a significant change in how we manufacture products due to the integration of digital technology into the production process. This shift is so significant that it's referred to as Industry 4.0, signifying the fourth major manufacturing revolution. The idea behind the Industry 4.0 revolution was constructed upon the three previous industrial revolutions: the initial revolution involving mechanization through water and steam power, the second revolution centered on mass production with the help of electricity, and the third revolution marked by computerization with automation. Industry 4.0 is defined by the rise of automation and the utilization of artificial intelligence in factories. In other words, Industry 4.0 is where innovation meets manufacturing, as machines are powered by artificial intelligence and factories become dramatically smarter. Without a doubt, artificial intelligence stands as a highly sustainable criterion in this major shift. Factories generate vast amounts of data, and this phenomenon is continuously increasing. As data continues to increase, the potential results that Artificial Intelligence can achieve, become even more remarkable. AI Treasure Hunt One exciting real-life application of AI is the concept of an AI Treasure Hunt. This innovative activity merges AI technologies with the thrill of scavenger hunts, providing participants with a unique, interactive experience. In an AI Treasure Hunt, artificial intelligence is used to create clues, analyze participant behavior, and dynamically adjust the difficulty of the game based on real-time data. Imagine a city-wide treasure hunt where AI systems use machine learning to generate location-specific challenges. For example, participants may receive clues on their smartphones that are personalized based on their current location, time of day, or even previous choices in the game. AI can also analyze patterns in how teams solve puzzles, making the game progressively more challenging or accessible, ensuring a fun experience for everyone. AI's ability to process vast amounts of data quickly means it can adapt the hunt in real-time, responding to participant strategies or even unforeseen events, such as changes in weather. This not only enhances engagement but also showcases In recent years, AI in Mineral Exploration has brought groundbreaking advancements, providing enhanced precision and efficiency in discovering valuable resources. By integrating data-driven insights, AI algorithms analyze geological data to predict potential mining sites, reducing the costs and environmental impact associated with traditional exploration methods. Machine learning models process vast datasets, including geophysical, geochemical, and satellite imagery, to identify patterns indicative of mineral deposits. This approach not only accelerates exploration but also minimizes risks by highlighting the most promising locations. Through its ability to process complex and diverse data, AI is transforming mineral exploration, leading to more sustainable and profitable operations in the mining industry. AI in Archaeology is transforming how we discover, analyze, and preserve ancient artifacts and sites. Through advanced machine learning and computer vision, AI can analyze satellite and drone imagery to detect potential archaeological sites in hard-to-reach areas. Algorithms also assist in interpreting ancient texts, reconstructing damaged artifacts, and identifying the origins of items, offering archaeologists new insights into historical civilizations. Furthermore, AI helps preserve sites by predicting risks based on environmental and human activity data, aiding in long-term conservation. This technology accelerates discoveries, allowing researchers to piece together history faster and more accurately, creating a richer understanding of ancient cultures and lost civilizations. The development and evolution of AI technology are happening at a rapid pace. The future of AI applications in real life may impact several aspects of human life, including: AI will help doctors identify illnesses more swiftly and precisely. AI will make new medication research more efficient and cost-effective. It will also improve patient participation in their treatment and make appointment scheduling and bill paying easier, with fewer mistakes. Adoption of AI in transportation towards fully autonomous vehicles AI will be utilized to create new solutions for pollution reduction and environmental protection. Producing new technologies for space exploration and planet colonization. AI will revolutionize the way we work by automating regular chores and freeing up human workers to pursue more creative and strategic efforts. AI will be capable of processing difficult inquiries, making tailored suggestions, and giving superior consumer experiences. Artificial Intelligence (AI) is no longer just a word, it is now a very important part of our lives. It affects every aspect of society in ways that we could only imagine a few years ago. In a world undergoing digital transformation, AI has emerged as a driving force across diverse industries. Furthermore, the need for AI applications in real life is felt wherever we think, especially in healthcare, finance, agriculture, and manufacturing. In healthcare, AI refines diagnosis through advanced imaging and predictive analysis, even aiding in disease outbreak predictions, as seen during the COVID-19 pandemic. In finance, from algorithmic trading to fraud detection, AI revolutionizes operations and risk management. The agriculture industry gains renewed energy with the aid of AI-powered drones that monitor crops, and machine learning enhances decision-making. In manufacturing, AI propels smart factories with precise quality control and resource efficiency under the banner of Industry 4.0. Obviously, the future holds a deeper embrace of AI's potential as industries tap into its capabilities to redefine processes and solve complex problems. Without a doubt, artificial intelligence holds great promise for revolutionizing our lives.
Let us clarify: We expect your job application to be written by you and not generated by AI, such as ChatGPT. Here is why: - Personalization and authenticity: Job applications allow applicants to showcase their unique skills, experiences, and personality. By writing their own applications, applicants can convey their individuality, passion, and motivations more personally and authentically. This personal touch can help employers understand the applicant’s fit for the role and company culture, which is difficult to achieve through an AI-generated application. - Communication skills: Writing a job application requires effective communication skills, including the ability to articulate thoughts clearly, organize information, and tailor the content to the specific job and company. Employers want to assess an applicant’s writing abilities, as solid communication skills are often crucial for success in many professional roles. Relying on an AI-generated application may not accurately reflect an applicant’s true communication abilities. - Understanding of job requirements: Applicants must thoroughly understand the job requirements and demonstrate how their qualifications align with those requirements. Writing their own application allows applicants to showcase their relevant skills, experiences, and achievements in a way that directly addresses the specific job opening. An AI may need the contextual understanding or the ability to emphasize the most relevant aspects of an applicant’s background. - Ethical concerns: AI models like ChatGPT are trained on large datasets that reflect the biases and limitations present in the data they learn from. Using AI to generate job applications could potentially perpetuate or amplify existing biases and discriminate against specific individuals or groups. Human involvement in the application process allows for fairness, critical evaluation, and the ability to address any biases or unfair practices. AI is currently not seen as a substitute for the applicant’s effort in crafting a personalized application. Just do you!
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Welcome to a World of $1M Ideas Where execution costs less than imagination. “The most brilliant idea, with no execution, is worth $20. The most brilliant idea takes great execution to be worth $20,000,000.” — Derek Sivers, entrepreneur, 2005 (source) This quote is startup scripture. A rallying cry for builders. Because if execution is everything, then ideas are cheap. You don’t need secrecy or stealth. You build in public. Share your roadmap. Launch on X. Execution is the moat. But what if the equation flips? What if execution becomes so cheap, so automated, that the idea itself becomes the rare commodity? That’s where we are. AI slashes the cost of doing. One person can now do what once took ten. Tools write, design, code, manage, market, and launch for you. In this new world, the original idea—a novel SaaS concept, a clever GTM strategy, a new take on an old problem—is the product. AI Slashes the Cost of Execution Execution used to mean hiring teams, raising funds, managing timelines, building prototypes, wrangling operations. Now? AI eats most of that for breakfast. Just look at what’s already possible: Build an app without touching a line of code. Skip the dev hire—describe what you want and let the machine make it. Prototype without Figma. Tools like Cursor and Replit let you sketch, test, and ship in one fluid motion. Outsource your strategy. AI can co-pilot everything from your hiring plan to your go-to-market. Turn project management into a checklist. Complex coordination becomes a set of auto-executing workflows. Spin up a marketing team of agents. They write, post, optimize, repeat. Execution still matters, especially for the bold, the complex, the moonshots. But for countless viable businesses, a single prompt soon replaces entire teams. This changes everything: how we build products, run companies, and think about what’s worth doing at all. Ideas Are the New IP A good idea used to be where the work began. Now, it is the work. Ideas are your new intellectual property. Building in public? That era may be over. When execution is cheap, so is theft. Ideas become the prize, and people start keeping them close. Expect more gated communities, less open sharing, and a return to stealth mode. Welcome to the age of idea stocks. Just like patents or music rights, ideas start trading hands. Think micro-licensing. Proof-of-inception. Platforms where conceptual IP is bought, sold, and verified like stocks. Enter idea equity and idea flippers. Forget sweat equity, this is spark equity. Early ideators get rewarded for originality alone. Some skip the build entirely and flip their ideas like domain names, bundling concepts for quick-launch operators to run with. How Individuals Adapt to an Idea-First World In a world where ideas carry value the way we work, think, and prioritize has to change. Prioritization becomes a superpower. When ideas are abundant and easy to act on, choosing the right one becomes everything. Call it prioritization intelligence. The ability to: Spot the signals of a high-leverage idea. Time your execution. Know when to double down, and when to walk away. Spend your most finite resource—attention—wisely. The better your filter, the bigger your outcome. An idea farm is non-negotiable. You can’t trust memory alone. You need a second brain, a place to store, sort, and surface ideas. Without it, great ideas slip by unnoticed, or get buried under noise. The most successful people have systems for nurturing them. You need to actively protect your creativity. AI is a hell of a shortcut, but shortcuts dull the blade. The more you let it think for you, the more your thinking fades. So you’ll need practices to keep your creativity sharp: AI-free zones during your day, regular digital sabbaticals, and working offline, with pen and paper. Creative confidence goes mainstream. Call it the vibe coding effect: non-coders building apps, creatives launching side projects, solopreneurs learning fast and shipping even faster. The line between idea and product is thinner than ever, so more people cross it. Only the elite can rely on their unique skills. Top-tier coders, writers, designers, and other specialists will always be in demand. But for most knowledge workers, competing on one skill alone gets harder. AI raises the baseline. To stand out, you'll need a unique combination of personal brand, community, expert insight, taste, and distribution. How Companies Compete in an Idea-First World Organizations don’t just scale anymore—they rewire. When ideas are currency, you restructure to mint them and protect them. Curation is survival. More ideas mean more noise. Human filters—analysts, creators, influencers—rise in status. Algorithmic filters—AI agents, feed pre-sorting, custom digests—go from nice-to-have to mission-critical. If you’re not curating, you’re drowning. Technical excellence gets a new job description. The best engineers become architects of feedback. They loop insights from users, AI models, and proprietary data into fast, fluid iterations. Code still matters, but the real edge is in orchestration. Studios, not factories. The new operating model looks less like SaaS and more like Pixar. Cross-functional teams spin up concepts, test with real users, then toss or scale fast. Ideation becomes the business—Creativity, Inc. becomes the handbook for industries that never saw themselves as creative. Custom software kills the app. In 2023, I read Dan Shipper’s prediction: “a bespoke app for everyone.” At the time, it sounded like a stretch. Now it feels like an understatement. AI agents spin up fully tailored tools—in your browser, inside your OS, without needing you to even ask. Forget downloading. Forget onboarding. The app gets replaced by the experience itself. Mockups are a waste of time. If you can build the real thing in minutes, why draw it first? Interactive mockups vanish. Teams skip wireframes and jump straight to code—from napkin sketch to working prototype before lunch. “I talked to the CEO of a moderately big tech co who said they'd replaced Figma with Replit. This surprised me because I don't even think of them as being in the same business. But he said Replit is so good at generating apps that they just go straight to prototype now.” — Paul Graham (source) Sprints as default mode. Hackathons become how things get done. You can ship something real in a few days, so you do. Focused, time-boxed creativity becomes standard ops. The New Rules of Competitive Advantage When launch costs collapse, ideas—not infrastructure—become the battlefield. Speed rules supreme. First-mover advantage goes from nice-to-have to critical. Ship early, and you lock in the users, the mindshare, and the momentum, before the clones show up. Domain > code. Technical skill still matters, but the real moat is insight. The teams who deeply understand the problem—the pain, the nuance, the stakes—can move faster and build smarter. That kind of expertise doesn’t come from GitHub. Data stays royalty. Call it the remix era of proprietary intelligence. Products infused with unique data deliver something the generics can’t touch. It’s still the new oil. It just flows faster now. More junk, rarer gems. Cheap execution means we’ll drown in bad products. That’s the tradeoff. But within the flood: brilliance. Weird, wonderful ideas that never would’ve survived the old gatekeeping of cost and complexity. The shelf life shrinks. Every product is temporary. As soon as something works, it gets copied, leveled up, or left behind. Fast creation leads to fast decay. Constant reinvention is the new standard. The attention war escalates. Focus is finite. The fight to win it gets louder, sharper, more AI-optimized. Expect more dopamine bait. More behavioral hooks. And more need to protect your mental feed like it’s sacred ground. Distribution is destiny. When the idea is the same, the audience makes the difference. Real community. A trusted voice. A brand that actually means something. That’s what cuts through the noise and keeps the copycats in your rearview. VC flips the script. Expect more rapid-fire "test funding" with smaller initial checks and milestone-based funding for ideas showing early traction. At the same time, startups need less investment overall, with AI-savvy teams accomplishing what previously required 10x the people. "Before this A.I. boom, start-ups generally burned $1 million to get to $1 million in revenue," investor Gaurav Jain told the New York Times. "Now getting to $1 million in revenue costs one-fifth as much and could eventually drop to one-tenth." The pivot from execution to ideation rewires society itself. The AI divide widens. A new kind of inequality emerges. Those fluent in AI leap ahead, compounding gains in productivity, creativity, and income. The split could rival the Industrial Revolution, except this time, it's about who can think with machines, not build them. Geography loses its grip. If open access to AI holds, the old barriers start to crumble. You no longer need a Silicon Valley zip code to innovate. A fast connection and a sharp mind can unlock the same tools from Nairobi to Nepal. Regional underdogs get a shot at the main stage. Governments can't keep up. When execution is instant, regulation feels glacial. Laws lag behind AI misuse, data exploitation, and ethically questionable products. The pressure is on. Governments must accelerate or risk becoming irrelevant referees in a game already in play. AI burnout is real. Ironically, AI doesn’t free us, it tempts us to do more. Take on another side hustle. Launch another product. Say yes to everything. Until the crash hits. AI dependency runs so deep, losing access starts to feel like withdrawal. Creativity flatlines. Productivity nosedives. Bad ideas scale just as fast. The dark side of cheap execution? Malicious concepts go live before the defenses load. Deepfakes flood the feed. Exploitative tools hit the market. Digital weapons go viral. When the brakes come too late, the damage is already done. Ideas are more valuable just when we get worse at coming up with them "The ability to perform deep work is becoming increasingly rare at exactly the same time it is becoming increasingly valuable in our economy. As a consequence, the few who cultivate this skill, and then make it the core of their working life, will thrive." The same is true for ideas and AI: original thinking is becoming increasingly hard at exactly the same time it’s becoming increasingly valuable. Originality used to be a bonus. Now it's the moat. In the AI era, ideas aren't where you start, they're where you compete.
The best inbound marketing tools can do wonders for your brand campaigns — but only if you know which ones to utilise and invest in. With thousands of apps, platforms, and other tools clamouring for the top spot, it can be difficult knowing which ones to work with, never mind how far the wrong choice could set you back — in time and budget. To help you make the right choice, we’ve put together a list of the top seven best inbound marketing tools you could be using to improve your campaign performance, generate leads that close, and grow better. 1. Strengthen your organic presence with SEMrush SEO Toolkit Business growth and the ability to scale your inbound marketing depend on a predictable, repeatable revenue flow. Key to achieving this is a core foundation of topic clusters that rank well for your areas of expertise. 'SEMrush has a whole suite of reliable search marketing analysis tools. I love using its keyword analysis capabilities, but it's most famous for its competitor intelligence', explains SEO and content strategy consultant Charlie Williams. 'With this, you can quickly see the search queries and topics your competition are targeting, both organically and with PPC. That gives you an insight into the potential search market and plenty of ideas of how to improve your content marketing strategy and performance.' "You can also use it as a home for your campaign thanks to the keyword tracking and integration with Search Console and Google Analytics." We use SEMrush every day to monitor our clients’ share of keyword real estate and iterate their inbound campaigns accordingly to maximise the impact of our activity. If you’re determined to master search trends and rank higher on Google, SEMrush is a must-have marketing tool. 2. Discover your buyers’ problems using AnswerThePublic On the subject of effective content strategies, AnswerThePublic is an excellent tool for uncovering the challenges your buyer personas are facing in regard to your industry or business area. It achieves this by gathering and presenting you with all the data it finds online on the questions around your chosen search term. In doing so it gives you clean, easy-to-identify insights into what kinds of problems your audience is facing, how they feel about a subject, and what kind of solutions they’re looking for. Best of all, it’s free and takes seconds to get started. Try AnswerThePublic out now. 3. Click play on Vidyard to engage your prospects 50% of your content should be in video’, HubSpot director and all-round growth aficionado Dan Tyre stated at The Revenue Growth Summit last week. Co-founder and CEO of Vidyard Michael Litt echoed these sentiments in his session on video marketing when he revealed that 90% of customers say video helps them to make buying decisions. ‘Video is the most desired channel for sales roles.' Personalise videos for your prospects or clients to trigger a powerful response. Engagement will be far higher than it typically would be for written content. He went on to add: ‘Use Vidyard to receive alerts and know who’s watching your videos, which video, and for how long. You could even use a short video to serve as a reminder of a meeting or encourage a next-step and reduce your drop-off rate.’ 4. Monitor your site’s performance using Google Analytics Data tracking sits at the core of every digital marketing campaign. If you don’t already recognise this, you’ve got bigger problems that you need to address — read this article on the importance of performance analysis now. If you already recognise the crucial role that data tracking plays in your campaign’s performance but you know you could be tracking and monitoring that data better, Google Analytics is your friend. ‘We use Google’s world-renowned analytics platform alongside HubSpot to reveal a broad scope of digital insights for our clients’ campaigns’, said Gem Latimer, our inbound strategist. ‘From how many new visitors view a site and how many are returning visitors to which website pages are most viewed, use these metrics to iterate campaign performance, report on key results, and prioritise future activity.’ As a free product, it’s a great level platform if you’re keen to gain deeper insight into how your visitors are discovering and interacting with your site. The dashboards can be somewhat inaccessible at first, but invest time into the platform and you’ll quickly find your way around. 5. Drive repeatable, scalable revenue using the HubSpot Growth Stack Growing in a scalable way requires full visibility of ROMI, enabling you to make effective sales and marketing investment decisions with confidence. Key to calculating the return on your marketing investments is your ability to track the total cost of customer acquisition (COCA). This means end-to-end visibility of your customer’s journey, from the first touch to deal closed. Cue HubSpot. The HubSpot Growth Stack offers all-encompassing marketing and sales capabilities that integrate everything from contacts data and contents to emails and landing pages. There’s no need to go it alone. Discover how you could benefit from buying HubSpot through a partner agency. 6. Gain a competitive edge with BuzzSumo Across industries, the digital marketplace is crowded. Key to standing out in the search engine results pages (SERPS) and across social media channels is insights into what activity your competitors are prioritising and how effective that activity is. BuzzSumo delivers these insights by revealing which types of content are performing best across multiple social media platforms, providing an invaluable advantage into where is best to distribute your content to engage prospects. This handy marketing tool also provides you with industry benchmarks to strive for when promoting your content. If you’re relatively new to content creation, these content marketing tips will be useful. 7. Dominate page one of the SERPs with Google Ads When looking to grow sustainable revenue, you might not immediately consider paid approaches, and you certainly don’t want to rely on them. But there are ways to align paid advertising with inbound, and if implemented it can be a valuable asset, particularly at the attract stage of the buyer’s journey. There are two forms of paid advertising that lend themselves particularly well to this: Google Ads, where you bid for position 0 in Google’s SERPs, and sponsored posts, which sit natively within social media feeds alongside content viewers have already chosen to see. With both of these forms of advertising, the paid element is simply expanding the reach of your content in a targeted way that makes sense for the customer, rather than just those footing the bill. Driving growth with the best inbound marketing tools There’s no need to jump in headfirst with all of these tools, but by reviewing your goals and the weaknesses in your strategy, we hope you can select the right one to help you elevate your campaign’s performance and drive better growth. When considering which tools to use, remember that data is key. The greater the visibility you have over how visitors interact with your website and social media, the more equipped you’ll be to make informed marketing and sales decisions that drive further engagement. This means choosing integrated marketing tools that share crucial data by speaking to each other. The right marketing software ultimately help to facilitate this, giving you visibility over data trails and how to grow your business. Learn how you can use HubSpot to generate leads that close and drive repeatable, scalable revenue growth in our ebook. Download now. Separated they live in Bookmarksgrove right at the coast of the famous Semantics, large language ocean and many more stuff and more more more
Artificial intelligence (AI) has become a powerful tool in various sectors, and the legal department is no exception. The application of AI in the legal field has revolutionized the way contracts are managed. This technology offers innovative solutions that can increase efficiency, reduce costs and minimize human error. In this article, we will explore some of the artificial intelligence solutions that can be used in the legal sector. Artificial intelligence solutions that can be used in the legal industry. Artificial intelligence solutions that can be used in the legal sector Speech recognition is one of the most prominent AI solutions in the legal field. It enables legal professionals to dictate legal documents, transcribe recordings of hearings or meetings, and quickly search through large volumes of audio files. This technology saves time and reduces administrative workload, allowing lawyers to focus on more strategic, higher-value tasks. Natural Language Generation (NLG) Natural language generation is another AI solution that can be of great use in a legal department. This technology allows the automatic creation of legal documents, such as contracts or court pleadings, using predefined templates and data provided by lawyers. Natural language generation not only speeds up the drafting process, but also helps maintain consistency and accuracy in legal documentation. Machine learning is a branch of artificial intelligence that relies on the ability of machines to learn and improve from data without being explicitly programmed. In the legal field, machine learning can be used to analyze large volumes of legal data, such as case law or past contracts, and extract relevant information. This can help lawyers make more informed decisions, identify patterns and trends, and predict legal outcomes more accurately. Deep learning is an advanced form of machine learning that uses artificial neural networks to process and analyze data in a manner similar to the human brain. In the legal field, deep learning can be used for tasks such as analyzing sentiment in legal documents, automatically classifying court cases or detecting confidential information in contracts. This technology enables greater automation and efficiency in the management of legal information. Natural Language Processing Natural language processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and human language. In legal departments or law firms, NLP can be used to analyze and understand large volumes of legal documents, such as contracts or deeds, identify relevant clauses, perform automatic summaries and search for specific information. Take your contract management to the next level Must-have artificial intelligence applications for in-house lawyers The implementation of artificial intelligence (AI) applications in the legal field has provided in-house lawyers with innovative and efficient tools to improve their productivity and optimize contract management. These applications offer a range of automated functions and intelligent analytics that help simplify and streamline the day-to-day work of legal professionals. Here are some of the must-have AI applications for in-house lawyers: Bounsel AI is an artificial intelligence application designed for contract management. This platform uses machine learning techniques to analyze and classify legal documents, identify relevant clauses and terms, and extract key information. With Bounsel AI, in-house lawyers can automate repetitive tasks, reduce errors and optimize workflow in contract review and drafting. Legal Review takes care of contextualizing legal information in working documents, providing legal certainty and greater accuracy to lawyers. In this way, we can obtain information on quotes from legislation, jurisprudence or repealed regulations that may affect our case. Otter.ai is a voice recognition application that uses artificial intelligence to automatically transcribe meetings, calls and conferences. This tool is especially useful for in-house lawyers, as it allows them to easily capture and review conversations and take notes without having to worry about losing important information. Otter.ai transcribes audio recordings in real time and provides an accurate and editable transcript. In addition, it offers the ability to search for keywords and tag the most relevant snippets, making it easy to reference and retrieve information. Donna is an artificial intelligence-powered virtual assistant that provides administrative support to in-house lawyers. This application can perform tasks such as drafting and reviewing agreements. Donna acts as a personal assistant, simplifying administrative tasks and allowing lawyers to focus on their higher value legal work. Clio is a legal practice management platform that incorporates artificial intelligence to help in-house lawyers manage their work and cases more efficiently. This application provides features such as time tracking, billing, document management, calendaring and client communication. The application of artificial intelligence in the legal department has transformed the way in-house lawyers manage contracts and conduct their daily work. AI solutions, such as speech recognition, natural language generation, machine learning, deep learning and natural language processing, have proven to be indispensable tools for improving efficiency, reducing costs and minimizing human error. Artificial intelligence applications offer specific functionalities and benefits that address the specific needs of in-house lawyers. These tools automate repetitive tasks, simplify contract review and drafting, facilitate transcription of meetings and calls, provide administrative support, and enable more efficient legal practice management. In short, artificial intelligence has proven to be an invaluable ally in the legal sector, especially in in-house legal departments. These AI solutions offer unprecedented potential to increase productivity, improve efficiency and provide significant added value in contract management and the legal practice in general. By leveraging these technologies, in-house lawyers can improve their performance and deliver superior service to their clients and organizations. If you want to elevate the potential of your contract management, with the help of AI it is possible. Request a meeting with us and we will explain how to use this revolutionary technology.
Choosing your career is an important step. While it’s possible to switch paths, your graduate job can shape your career for years to come. So, when deciding what route to take, you’ve got to consider your skill set, your ambitions and what kind of work will suit you. Plus, if you’re motivated by making a difference, you need to think about the impact your job will have on others. And that’s where this guide comes in. In this article, we’ll explore the ways STEM careers change lives. Whether you’ve studied a STEM degree or are considering a move towards the sector, there are options open to you. We’ll cover the positive impact of various STEM professions in different areas: Looking for a fulfilling job? Look no further. The positive impact of science jobs There are many careers in science, with fascinating areas to specialise in. In a science job, you research and study your subject and can even address global challenges. Here are two areas where you’ll make a positive difference: Medical researchers dedicate their lives to understanding people’s health challenges and work tirelessly to discover breakthroughs to improve (and save) lives. Medical research includes developing vaccines and eradicating diseases. Environmental scientists aim to understand and mitigate the impact of climate change. By researching sustainable practices, environmental scientists hope to create a better world, positively affecting the lives of future generations. Want to learn more about working in environmental science? Lauren, a Bright Network member, shares her experience of being an environmental scientist, what she’s learned so far in the role and how to follow in her footsteps. The positive impact of technology jobs Technology is at the forefront of innovation, exploration and progress in our digitally driven world. By working in tech, you support the transformation of industries to create positive change. Here are some of the areas where you’ll make a difference: Artificial intelligence (AI) AI goes beyond writing a prompt to see what you’d look like as a rubber duck. It’s not all about novelties. For example, AI innovators are teaching models to spot illnesses through X-rays, MRIs and other scans. Using AI speeds up the process of finding illnesses, meaning more people receive support quicker. Another worthwhile case is using AI to learn, catalogue and teach endangered languages. By doing this, languages (a vital part of cultures) will be saved from extinction. AI is a growing industry, with more roles being introduced each year. As a relatively new field, there are still lots of question marks about ethics in AI. That means bright new minds looking to make a positive impact will be important in the space. Software developers work on healthcare applications that improve patient care and streamline medical processes. Technological advancements improve efficiency and impact people’s wellbeing. The positive impact of engineering jobs Engineering is an expansive discipline with specialisms spanning areas of infrastructure and technology. An engineering career will let you make a difference, with opportunities in these sub-sectors: Civil engineers affect our day-to-day lives. They’re responsible for the design of infrastructures we use, such as roads, railways and sewage systems. We need civil engineers to design and improve infrastructures to keep society functioning. That’s a big responsibility! By specialising in environmental engineering, you’ll look for alternative sustainable energy sources and explore how to use existing sources effectively. The aim is to work out how to minimise the impact fuel types have at every stage – including at disposal. Many of these themes expand into nuclear and energy engineering. The positive impact of maths jobs Jobs in maths are important. Here are two areas to consider if you want to have a positive impact: There are lots of jobs in meteorology beyond presenting the weather on TV. Most meteorologists won’t work on telly at all. Instead, most will study short- and long-term trends in weather systems and the climate behind the scenes. Meteorologists have a big impact, especially when it comes to severe weather. They detect extreme weather systems and warn impacted people to adjust plans – or even evacuate. Statisticians mathematically analyse datasets and make conclusions from that data. They work in all kinds of areas. If you want to effect change, look for roles that let you analyse data related to topics like the climate and vaccinations. Keen to know what being a statistician has to offer? Bright Network member Rhian tells us why she joined the statistics graduate pathway at Ofcom. She also shares tips for how to succeed in your own application. When deciding on the STEM career you’d like, think about the areas that suit your needs, ambitions and expectations. Plus, consider the impact your career will have. Remember, your work has the potential to shape lives, solve global challenges and contribute to a brighter future for all. If that excites you, then you’ll be well-suited to a career in a STEM field. Our list covers just some of the STEM professions where workers make a positive change. Use our career path test to find other roles suited to your skill set.
Several years ago just talking about 3-Phase power distribution at the equipment cabinet would have brought laughs and looks of amazement from your fellow data center employees. Today, there are several simple facts within the data center environment that have created demand for 3- Phase power in the equipment cabinet. IT equipment comes standard with universal power supplies that take a wide range of input power and can commonly support 208V/230V power. High density computing with increased server implementations, greater equipment densities, increased power demands, cost reduction initiatives, green directives and redundancy are driving the demand for 3-Phase power in the data center equipment cabinet. This paper will explore 3-Phase power, how it works, why it is more efficient and many other advantages it provides to the data center.
FitnessAI, an innovative fitness platform, leverages artificial intelligence to deliver personalized workout routines through its iPhone application. Drawing from a vast dataset of 5.9 million workouts, the AI algorithm optimizes sets, reps, and weights for each exercise, providing users with tailored workout plans that adapt to their fitness goals and progress over time. AI Model Training : Developing and training an AI model capable of analyzing extensive workout data and generating personalized fitness plans requires expertise in AI model development and optimization. Chatbot Development : Integrating a chatbot feature into the application to provide users with real-time guidance and support during their workouts necessitated proficient chatbot development skills and seamless integration with the AI model. User Engagement : Ensuring high user engagement and satisfaction through the AI-generated workout plans demanded a user-friendly interface, intuitive design, and effective communication of AI-driven recommendations. Advanced AI Model Training : Utilizing state-of-the-art machine learning and deep learning techniques, FitnessAI developed a robust AI model capable of analyzing workout data and generating personalized fitness recommendations with high accuracy and efficiency. Chatbot Integration : FitnessAI integrated a chatbot powered by natural language processing (NLP) technology to provide users with real-time guidance, answer queries, and offer motivational messages during workouts. This enhanced user experience and engagement. User-Centric Design : FitnessAI prioritized user experience by designing an intuitive and visually appealing interface for its iPhone application. Clear communication of AI-generated recommendations and seamless navigation facilitated user adoption and retention. DigiPrima Technologies collaborated with FitnessAI to conceptualize innovative solutions for personalized workout planning. Through extensive analysis and discussions, we identified key requirements and objectives to develop an AI-driven fitness platform tailored to FitnessAI's vision. Our team of experts leveraged advanced AI model development techniques to build a robust algorithm capable of analyzing workout data and generating personalized fitness plans. Through iterative development and testing, we refined the solution to ensure accuracy and efficiency in generating tailored workout routines. Integrating the AI-driven fitness solution with the FitnessAI iPhone application posed technical challenges. However, our team successfully integrated the solution, ensuring seamless interaction between the AI algorithm and the user interface, including the chatbot feature. After rigorous testing and quality assurance, we deployed the AI-driven fitness platform to FitnessAI's client base. Our deployment strategies ensured a smooth transition and optimal performance of the application, empowering users to achieve their fitness goals with personalized workout plans. Our technology suite ensures dependable management of traffic and content flow in the application, aligning with the seamless streaming expectations of clients and users. We follow agile methodology where we review the changes and the requirements on regular basis and make sure to deliver the solution exactly like the client wants. We guarantee the deployment of error-free solutions through thorough testing and quality checks. For updates or concerns, support is readily available. Build Strategic And Business Insights With Our Data Analysis Consulting Services Digiprima corporate software development agency is available 24 hours a day, every day of the week, to collaborate and assist you in finding the best approach and technology that will assist you succeed with business intelligence, big data, and data science solutions.
Governance, Assurance and Data Protection Assistant Apprentice Leicestershire (LE67 4JP) Closes in 8 days (Friday 20 June 2025 at 11:59pm) Posted on 7 May 2025 An excellent opportunity has arisen for an apprentice to work for emh in the Governance, Risk and Assurance Team, based in our Coalville office. Undertake all aspects of administration as required to support the Governance, Risk, Assurance and Data Protection function. - Training course - Business administrator (level 3) Monday - Friday, 9.00am - 5.00pm (Annualised hours Contract) 35 hours a week - Start date Saturday 21 June 2025 1 year 6 months - Positions available Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience. What you'll do at work This varied and exciting role will enable you to develop a wide range of skills and experience in a crucial area of the business. Principal Duties and Responsibilities: - Undertake all aspects of administration as required to support the Governance, Risk, Assurance and Data Protection function, including but not limited to: accurate and timely minute taking, collating and distributing board and committee papers, raising of purchase orders, record keeping, filing, updating information channels for board and committee members, scanning, maintaining document and contract records, logging and maintaining accurate records of data protection and access to information queries or concerns and ensuring that Governance and data protection information on the Group’s external websites is up to date - Organise and schedule meetings, maintaining effective diary management, taking minutes and producing documentation as required - Monitor and manage queries or requests to ensure they are responded to in a timely manner, and in accordance with policies, procedures and legal and regulatory requirements - Ensure all governance, risk, assurance and data protection related policies, processes and procedures meet in-house guidelines, are appropriately published and accessible to those who need them - Support in the maintenance of up-to-date risk and assurance maps, data protection registers etc. - Liaise with tenants and other data subjects on queries or concerns relating to data protection requests - Scan, photocopy and maintain documents in line with data protection guidelines - Deal with basic office management such as stationery supplies and post - Use the IT systems to maintain records as required - Always maintain confidentiality and handle all information in accordance with the Data Protection Policy - Provide ad hoc administrative support to other areas of Corporate Services (such as Executive Director support, Health and Safety and Communications), where appropriate Leadership and Corporate Responsibilities - Work effectively with other team members to meet deadlines and provide excellent customer service - Maintain strong links and working relationships with internal customers - Promote and lead by example on equality, diversity and inclusion - Contribute to improving and implementing new/revised processes - Ensure adherence to data security and protection policies and processes - To uphold the vision and values of the emh group and emh homes - To take individual responsibility for ensuring that a continuously improving and effective professional customer service is delivered - To ensure a safe working environment in accordance with Health and Safety Regulations - To attend fire drills and staff meetings - To attend training events as required - To maintain an awareness of current instructions circulated by staff meetings, departmental and head office bulletins, circular letters or by verbal or written information given by your Responsible Officer - To respect the confidential nature of personal information - To recognise and promote emh group’s Equality and Diversity Strategy Full training will be provided in all areas to meet with the apprenticeship programme. Where you'll work Whitwick Business Park Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills. College or training organisation P.T.P. TRAINING LIMITED Your training course What you'll learn - Skilled in the use of multiple IT packages and systems relevant to the organisation in order to: write letters or emails, create proposals, perform financial processes, record and analyse data. Examples include MS Office or equivalent packages. Able to choose the most appropriate IT solution to suit the business problem. Able to update and review databases, record information and produce data analysis where required. - Produces accurate records and documents including: emails, letters, files, payments, reports and proposals. Makes recommendations for improvements and present solutions to management. Drafts correspondence, writes reports and able to review others' work. Maintains records and files, handles confidential information in compliance with the organisation's procedures. Coaches others in the processes required to complete these tasks. - Exercises proactivity and good judgement. Makes effective decisions based on sound reasoning and is able to deal with challenges in a mature way. Seeks advice of more experienced team members when appropriate. - Builds and maintains positive relationships within their own team and across the organisation. Demonstrates ability to influence and challenge appropriately. Becomes a role model to peers and team members, developing coaching skills as they gain area knowledge. - Demonstrates good communication skills, whether face-to-face, on the telephone, in writing or on digital platforms. Uses the most appropriate channels to communicate effectively. Demonstrates agility and confidence in communications, carrying authority appropriately. Understands and applies social media solutions appropriately. Answers questions from inside and outside of the organisation, representing the organisation or department. - Completes tasks to a high standard. Demonstrates the necessary level of expertise required to complete tasks and applies themself to continuously improve their work. Is able to review processes autonomously and make suggestions for improvements. Shares administrative best-practice across the organisation e.g. coaches others to perform tasks correctly. Applies problem-solving skills to resolve challenging or complex complaints and is a key point of contact for addressing issues. - Takes responsibility for initiating and completing tasks, manages priorities and time in order to successfully meet deadlines. Positively manages the expectations of colleagues at all levels and sets a positive example for others in the workplace. Makes suggestions for improvements to working practice, showing understanding of implications beyond the immediate environment (e.g. impact on clients, suppliers, other parts of the organisation). Manages resources e.g. equipment or facilities. Organises meetings and events, takes minutes during meetings and creates action logs as appropriate. Takes responsibility for logistics e.g. travel and accommodation. - Uses relevant project management principles and tools to scope, plan, monitor and report. Plans required resources to successfully deliver projects. Undertakes and leads projects as and when required. Your training plan - Business Administrator Level 3 Apprenticeship Standard - Functional skills in maths and English if required - Internal relevant training courses as required for the job - English (grade 4 and above) - Maths (grade 4 and above) Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know. - Communication skills - IT skills - Attention to detail - Organisation skills - Customer care skills - Problem solving skills - Administrative skills - Team working - Non judgemental It is important that the successful candidate can respect the confidential nature of personal information and privacy. This is a hybrid role offering a combination of working in the Head Office in Coalville and working from home. It is a very busy environment. This post is subject to DBS clearance. About this company emh group is an independent, profit-for-purpose organisation that provides high quality, affordable homes and support services. Today, we have more than 21,000 properties in more than 40 local authority areas across the region and we provide care and support to hundreds more customers. Our vision is to be the best social housing and care business in the country, leading the market as service provider and employer. We offer a friendly, open environment and encourage professional development among all our employees. A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions. You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview. After this apprenticeship - It is expected that upon completion of the apprenticeship there may be an opportunity to remain in a full-time position or progress further within the organisation onto a suitable pathway Ask a question The contact for this apprenticeship is: The reference code for this apprenticeship is VAC1000319131. Closes in 8 days (Friday 20 June 2025 at 11:59pm) When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can create one at the same time as applying for this apprenticeship.
Yandere AI Girlfriend APK grants a totally immersive and interactive experience for users who love the world of virtual relationships. The site’s playful and engaging atmosphere draws you in from the moment you visit, making it easy to get lost in the simulator. With a straightforward design that doesn’t complicate things, it’s a breeze to dive right into the app. The simulation features a virtual girlfriend who exhibits all the charmingly quirky traits one might expect, from endearing sweetness to occasional, humorous jealousy. Whether you’re just looking to explore or need a companion who feels uniquely responsive, this site offers a range of exciting possibilities. The ease of use makes navigating the Yandere AI Girlfriend APK site incredibly satisfying. It doesn’t take long to download and get started, ensuring that users can jump straight into the fun without unnecessary distractions. The interface is designed with the user in mind, allowing for smooth transitions between different features and settings. The controls are intuitive, so even if you’ve never tried a virtual girlfriend simulator before, you’ll be able to catch on quickly. The experience is customizable, giving you plenty of freedom to tailor your virtual interactions and create your perfect AI companion, making the whole thing feel personal and interactive. Discovering potential drawbacks to the site is almost a challenge—its features are easy to access, and it serves up exactly what users in the Yandere AI GF Simulator category are after. There might be minor improvements to be made in some areas, but honestly, it’s hard to be picky when the site functions so seamlessly. With an app that delivers high-quality entertainment and a lot of quirky fun, it’s definitely worth recommending to anyone curious about diving into this genre. If you love virtual relationships and enjoy a playful, engaging atmosphere, Yandere AI Girlfriend APK is a must-try!
In the course of operating the www.mmcsa.ch website, we may collect information and personal data about you. We are committed to processing this information and data in a way that respects your privacy and complies with current legislation in France and Europe. In addition, we use appropriate technical and organizational measures to ensure the security of your information, in particular against unauthorized or unlawful processing, accidental loss, destruction or damage, or access by unauthorized persons. Who is responsible for your information? The person responsible for processing your personal data is Majestic Management Consulting, a public limited company with share capital of 100,000 euros, registered in the EPALINGES Trade and Companies Register under number CH-550.1.033.914-5, legally represented by its Chairman, Mr Yann Meuterlos. What type of information is collected? We collect the information relating to your identity (title, surname, first name, email address, etc.) that you agree to communicate to us when you complete a form on the site or when you contact us directly. Mandatory information is indicated by an asterisk. We also collect information relating to transactions (transaction number, order details), commercial relations (orders, invoices, correspondence) and payments. We also use activity monitoring devices and technologies to automatically collect information about your connection and navigation on the site. This may include your IP address, your geographical location, the type of browser you use, the time spent on each page, the links you click and other similar data. This information is anonymized and helps us to improve and personalize your browsing experience, secure the site and resolve technical problems. Why is your information collected? We store and use your information only as required by law and for the purposes indicated at the time of collection. – Management of orders and customer relations: the legal basis is the execution of a contract or pre-contractual measures. Information is kept for the time required to manage the commercial relationship. – Bookkeeping: the legal basis is compliance with our legal, accounting and tax obligations. Information is kept for 10 years. – Site security and fraud prevention: the legal basis is our legitimate interest. Information is kept for a maximum of 13 months. – Traffic measurement and analysis: the legal basis is our legitimate interest or consent. Information is kept for a maximum of 13 months. – Site improvement and optimization: the legal basis is our legitimate interest. Information is kept for a maximum of 13 months. – Commercial prospecting and customer loyalty actions: the legal basis is consent. Information is kept for a maximum of 3 years from the last order or contact initiated by the customer or prospect. To whom is your information transmitted? Your information is used by our internal departments. All access to your personal data is subject to a confidentiality agreement. It may also be transmitted to our subcontractors responsible for providing the technical services required to operate the site: IT service providers (hosting, maintenance, etc.), payment service providers, technical and logistics service providers, statistical and communication consulting agencies. The transmission of your information is always carried out on the basis of a contract which mentions the regulations and obligations applicable to the protection of personal data. Your data may be transferred to countries outside the European Union. In this case, we guarantee that your data will be subject to protection substantially equivalent to that guaranteed in the European Union, either by virtue of an adequacy decision issued by the European Commission, or by the implementation of all appropriate measures, in particular by recourse to the European Commission’s standard contractual clauses. You can request further information on these appropriate guarantees from the contact details given below. What are your rights? You can access your personal information, rectify it, request its deletion or exercise your right to limit the processing of your data. You may also object to the processing of your information, for reasons relating to your particular situation, except in the case of commercial prospecting, to which you may object without having to provide any justification. You may withdraw your consent at any time, without affecting the lawfulness of the processing carried out on the basis of consent prior to withdrawal. You have the right to port your data. You may issue instructions concerning the retention, deletion or communication of your personal data after your death. To exercise your rights or if you have any questions about the processing of your information, please contact our Data Protection Officer: By e-mail: [email protected] By post: Vanille Van Der Cam, Le Grand Chemin 63, 1066, Epalinges CH
The legal profession is experiencing a shift as artificial intelligence (AI) becomes integrated into everyday processes. From conducting legal research to drafting legal briefs, AI enables attorneys to handle legal tasks with greater accuracy and efficiency. This allows legal professionals to focus on strategy, client advocacy, and impactful litigation. AI tools, such as generative AI platforms, are proving valuable for drafting legal documents, analyzing case trends, and supporting decision-making. With proper training, these technologies can help law firms improve their workflows and deliver more reliable legal services, making AI education a priority for modern lawyers. How AI Enhances Legal Work AI’s application in the legal field is helping lawyers address routine and complex tasks. Tools using machine learning and predictive analytics are transforming how work is done in key areas: - Efficient Legal Research AI platforms like Westlaw Edge and Lexis+ process large volumes of legal information, delivering precise and relevant results. These tools help lawyers identify key precedents and statutes quickly, enabling them to build stronger cases in less time. - Simplified Document Drafting Drafting legal documents, contracts, and legal briefs is fundamental but time-intensive. Tools such as Luminance and Law Practice AI use generative AI tools to check compliance, suggest language, and reduce errors. This ensures documents meet legal standards while letting lawyers focus on substantive work. - Predicting Case Outcomes Platforms like Lex Machina analyze historical data to help attorneys anticipate potential legal outcomes. These insights guide strategy development, ensuring lawyers are well-prepared for litigation or negotiation. - Automating Routine Tasks Repetitive administrative tasks, such as document organization and compliance monitoring, are automated with AI. By handling these processes, lawyers have more time to focus on legal representation and client interactions. Why AI Education Matters for Law Firms For law firms, keeping pace with advancements in the legal industry requires investing in AI education. Training ensures lawyers understand how to use AI tools effectively and responsibly. Benefits of AI Education: - Informed Decision-Making: AI-driven insights help attorneys analyze data and make thoughtful, evidence-based choices. - Improved Client Service: Lawyers can dedicate more time to complex cases and client communication by automating repetitive tasks. - Ethical Awareness: Education ensures lawyers address ethical concerns, such as algorithmic bias and data privacy, when implementing AI tools. Proper training allows lawyers to integrate tools like Law Practice AI for demand letters and Thomson Reuters platforms for research seamlessly into their practice. The Role of AI in Legal Research and Demand Letters AI is particularly impactful in legal research and drafting. These tasks require precision, and AI tools help lawyers achieve this without compromising quality. AI in Legal Research - Conduct Legal Research: Tools like ROSS Intelligence provide answers to legal queries using natural language processing, saving time and ensuring accuracy. - Predictive Analytics: By analyzing trends in legal outcomes, AI tools help attorneys anticipate challenges and prepare robust arguments. - Legal Information Management: AI ensures lawyers access only the most relevant cases and statutes for their work. AI in Demand Letters Demand letters are a key communication tool in law, and platforms like Law Practice AI assist in drafting professional, structured, and precise letters. These tools ensure the letters are persuasive and clear while saving lawyers time. Addressing Ethical Concerns in AI Use TThe use of AI in the legal system brings valuable opportunities but also raises important ethical concerns that firms must address: - Bias in Algorithms AI tools can unintentionally reflect biases present in their training data, which is especially concerning in sentencing decisions or alternative sanctions in the criminal justice system. - Data Security and Privacy Protecting sensitive client data is essential. AI tools must comply with strict regulations to ensure confidentiality and prevent breaches. - Accountability Determining responsibility for errors in AI-assisted work requires clear policies to ensure legal experts retain control over outcomes. By addressing these concerns proactively, firms can use AI responsibly while maintaining trust and fairness in their practice. The Future of AI in Legal Services AI is becoming a cornerstone of how law firms provide legal services. From drafting demand letters with Law Practice AI to analyzing trends with predictive analytics, AI tools are changing how lawyers work. To make the most of these advancements, lawyers must not only understand how to use AI but also recognize its limitations. With AI, lawyers can: - Focus on complex legal problems while automating repetitive tasks. - Deliver better results for clients by leveraging data-driven insights. - Navigate ethical challenges and maintain the integrity of the legal system. Organizations like Legal Soft support law firms in adopting AI solutions responsibly, helping them adapt to a changing legal landscape. Preparing Lawyers for the Future with AI AI offers lawyers tools to work more efficiently and focus on meaningful tasks like advocacy and client relationships. From legal research to drafting legal demand letters, AI has practical applications that save time and improve reliability. Law firms that invest in AI education and tools like Legal Soft and Law Practice AI position themselves for success in a changing legal landscape. By combining technology with legal expertise, attorneys can meet the evolving needs of their clients while upholding the values of the profession.
We met with IAMCP chapter president Danny Brown, to chat about Microsoft Inspire. Inspire is Microsoft’s worldwide partner conference. Typically, companies involved in Microsoft’s Partner Network travel from around the world to spend a week meeting with other partners, attending various sessions and keynotes led Frank Ohlhorst and Harry Brelsford revisit the analytics conversation. They tie the conversation to the current economic status and pandemic taking place. When you couple data and analytics you can come to the conclusion on where to drive your business helping to build big profits. Phelim Rowe joins Harry Brelsford to explore privacy with Data. Phelim explores GDPR and the California privacy act and how it affects your data. He then goes onto to talk about why companies collect certain information Join Harry Brelsford and Phelim Rowe for a morning cup of coffee and discussion on the current state of the event industry. Phelim noticed that people are currently thirsting for education, and are willing to attend virtual events as long as the content
Spendflo's curated SaaS intelligence based on battle tested negotiations helps you get everything you need make informed SaaS buying decisions, avoid buyer remorse and get your preferred tools at the best price. Bynder is a cloud-based digital asset management (DAM) solution that enables marketers to create, find, use and work on content easily. Spendflo Score is a computed measure of all SaaS tools' financial and procurement health indicators. It helps make data-driven decisions about software investments. Monitor all contracts, spends, benchmarking data, usage, anomalies, and more on one platform. Canto is the leading digital asset management solution for organizations worldwide. Canto’s DAM helps you organize, find, and distribute digital assets with ease. Bynder is a digital asset management (DAM) platform that helps businesses organize, store, and share their digital assets. It offers features like brand portals, creative workflow, and analytics. Bynder offers custom pricing based on the specific requirements of each organization, such as the number of users, assets, and features needed. Bynder is best suited for businesses looking to improve their digital asset management and brand consistency. It caters to marketing, creative, and brand teams. No, Bynder does not offer a free plan. The pricing is based on a custom quote tailored to each customer's needs. Bynder provides integrations with various content management systems, cloud storage platforms, and design tools to ensure seamless data flow and efficient digital asset management. Save on Slack with negotiations based on benchmark-data obtained from hundreds of negotiations. Prioritize your renewals and plan ahead. Pay only for what you need and get the best discounts by showing up fully prepared. Understand your teams license utilization, usage patterns and sentiments. Get full context about all the tools you use and take informed decisions to maximize ROI. Our free savings analysis tells you how much you’re guaranteed to save with Spendflo. Learn more about cleaning up and automating your tech stack from our experts.
TGIF. Here’s a quick look at some more news from the metro this week: EarthLink won some fast food business out in the Midwest this week. LDF Food Group will be using their network services across its more than 40 Wendy’s franchises across Kansas, Oklahoma, and Texas. LDF uses EarthLink’s MPLS Direct Connect for its credit card transactions between the point of sale and its payment processors. Flex Communications helped with the implementation. Also in the Midwest, Frontier and Mitel teamed up for the education vertical. Illinois Wesleyan University has moved its phone system onto a cloud communications platform. The deployment took six months, and included 875 cloud powered phones plus 900 still on analog (for the power during blackouts etc), hooking up 600 faculty and staff plus 1,900 students. Hurricane Electric kept its steady expansion with yet another new point of presence. They’ve added a second PoP at Digital 365 Main out in San Francisco, the Digital Realty facility that was purchased from 365Main before the latter bought those 15 data centers from Equinix and started over as 365 Data Centers. Zayo added another data center to its deep footprint in Maryland this morning. They’ve built out to BYTEGRID’s 214K square foot facility in Silver Spring. BYTEGRID has been acquisitive lately, and has more inorganic expansion plans for this year. I’d say the same about Zayo, but it’s the possible IPO that dominates the horizon there. tw telecom’s national fiber expansion followed up its New York announcement with one out in Ohio. They’ve now expanded their fiber network into Cleveland, starting out with a node at BlueBridge Networks’ downtown data center. tw telecom is already in the other 3 significant bandwidth markets in Ohio: Cincinnati, Columbus, and Dayton. If you haven't already, please take our Reader Survey! Just 3 questions to help us better understand who is reading Telecom Ramblings so we can serve you better! Categories: Datacenter · Internet Backbones · Metro fiber
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Healthcare for Ransom: A Look into the HIPAA Guidelines for Ransomware Incidents Widespread email phishing campaigns carrying the pervasive ransomware Locky have been hammering businesses across the U.S. and Japan since the beginning of August. According to media reports, the targets are mainly from the healthcare sector, emphasizing the preference of cybercriminals for this particular industry. It's not difficult to see why. Healthcare enterprises carry a wealth of valuable data such as social security numbers and health insurance credentials that cannot easily be replaced, besides patient records that hospitals need to run their daily operations. Locky is a prevalent threat—according to a Trend Micro report it accounted for 50% of the ransomware detected in Japan during the first half of 2016—but it isn't the only ransomware family used to target healthcare facilities. The ransomware threat as a whole is a current and continuing problem for the healthcare industry—in the United States alone there was a 300% increase in attacks recorded since 2015. The scale of the security incidents seen in 2016 is consistent with what Trend Micro anticipated, based on the position of the healthcare industry in the threat landscape of 2015. Enterprises dealing with the threat of ransomware, as well as affected entities managing the aftermath, look to the comprehensive guidance provided by the Health Insurance Portability and Accountability Act (HIPAA) for strategies concerning security incident prevention, management, and response. The U.S. Department of Health and Human Services (HHS) has released a detailed factsheet that describes how entities covered by the HIPAA should deal with ransomware cases. The document clearly defines ransomware as a “security incident”, and as such, HIPAA-covered enterprises have to initiate reasonable and appropriate response, reporting, and recovery procedures. To find out the appropriate response, any incident should be immediately assessed. Enterprises must first determine the scope of the incident, the origin, if it is still ongoing, and how the incident occurred. A vital part of the analysis is assessing whether or not there was a breach of Protected Health Information (PHI), since that could be a violation of the HIPPA Privacy Rule that triggers wide-ranging notification procedures. Comply with HIPAA standards to prevent incidents An ounce of prevention is worth a pound of cure. Compliance with the HIPAA security guidelines can help enterprises avoid the monumental difficulties of dealing with ransomware. One particular obligation emphasized by HIPAA is adequate security and awareness preparation for the workforce. Everyone in the enterprise, from the CEO down, can be exposed to ransomware and is a potential victim. Most cases actually start with a user being conned by threats attached to blandly titled email, so educating users about these schemes is a worthwhile investment. Aside from security training, here are some practices outlined by HIPAA: - Conduct a thorough risk analysis to define potential vulnerabilities and threats to your network and PHI, then take appropriate steps to mitigate those risks - Install procedures to guard against and detect malicious software - Limit access of people and programs to PHI HIPAA outlines the minimum of what enterprises are required to do to secure their data, but implementing additional and more thorough security measures is very much encouraged. Evaluate the probability of PHI compromise to determine breach status Ransomware doesn’t typically equate to a breach since the aim of ransomware is to encrypt data, and not expose it. However, when electronic PHI (ePHI) is encrypted by ransomware, it is considered accessed, or “acquired”, by an unauthorized individual, and so becomes a “disclosure” which is not permitted under the HIPAA Privacy Rule. Because of that, the rules for breaches can apply to ransomware incidents. If an entity is infected with ransomware, the incident is presumed to be a data breach unless it can be demonstrated that a “low probability that the PHI has been compromised”. If “low probability” is not established, then the entity must comply with the Breach Notification Rules and follow the provisions applicable to the size of their breach. To evaluate the extent of the breach and determine “low probability” of PHI compromise, four factors have to be assessed according to HIPAA: - the nature and extent of the PHI involved, including the types of identifiers and the likelihood of re-identification - the unauthorized person who accessed or used the PHI, or to whom the disclosure was made - whether the PHI was actually acquired or viewed - the extent to which the risk to the PHI has been mitigated The process of determining low probability has to be thorough. Covered entities and their business associates must also sufficiently document their analysis to meet the burden of proof regarding the breach assessment. If it’s determined that a breach occurred, then the entity has to comply with the applicable HIPAA breach notification provisions: informing affected individuals without unreasonable delay, informing the Secretary of HHS, and—if over 500 individuals were affected—notifying the media. Risk assessment and notification are only required for unsecured PHI HIPAA does not require risk assessment or breach notification for secure PHI, which is ePHI that is encrypted according to a set of standards that can ensure that the data is indecipherable to unauthorized parties. Encryption is a vital part of any enterprise’s data protection strategy. However, in the event of a security incident, entities have to be sure that the encryption is guaranteed. Was all of the affected PHI really been rendered unreadable, unusable, and indecipherable to unauthorized persons? For example, full disk encryption might render data on a laptop indecipherable to unauthorized parties when it is powered down, but what if the laptop is on? If the operating system is loaded, the files on the system can be accessed by unauthorized users. If a ransomware attack occurs at this moment, the files are then considered “unsecured PHI” and a breach is presumed under the HIPAA Breach Notification Rule. Entities have to be certain about the status of their PHI before moving forward with any security plans or notification procedures. HIPAA requires a robust plan for ransomware response and recovery One of the first steps entities should take after a ransomware attack is determining the type of malware that has hit them. Finding the particular strain will help users figure out the behavior of the threat—if it is still propagating in the system, what data it is targeting, if it will attempt to exfiltrate data, if it will drop more malicious software, or other actions. A solid contingency strategy, including a comprehensive data backup plan is also a requirement from HIPAA’s Security Rules. Once activated, business operations should continue as the entity manages the ransomware attack. Further guidance of HIPPAA also prompts entities to take these actions: - conduct analysis of ransomware - contain the impact and propagation of the ransomware - completely eliminate ransomware and mitigate or remediate vulnerabilities that permitted the ransomware attack and propagation - recover lost data and resume business - conduct post-incident analysis and determine if the entity has any regulatory, contractual, or other obligations as a result of the incident - incorporate new discoveries into incident management processes to improve security Entities should also think about offering affected clients some assistance or service following a ransomware attack, though it is not part of the standards set by the HIPAA. When Colorado-based healthcare provider Allergy, Asthma & Immunology of the Rockies, P.C. (AAIR) suffered a breach that exposed personal data of 7000 patients, they were quick to respond. The company offered affected clients year-long identity protection services, including credit monitoring, insurance, data theft protection, and customer support via a dedicated service team. HIPAA provides enterprises with thorough guidance for handling ransomware, from prevention tactics to response and recovery plans. Complying with all the standards set by the HSS will help smoothly manage security incidents, but going above and beyond the requirements is an even better approach. Enterprises should use a comprehensive combination of solutions that involves breach detection, data loss prevention, compliance auditing and demonstration, securing legacy systems, cloud security, as well as protecting devices, endpoints, and data.Like it? Add this infographic to your site: 1. Click on the box below. 2. Press Ctrl+A to select all. 3. Press Ctrl+C to copy. 4. Paste the code into your page (Ctrl+V). Image will appear the same size as you see above. - Stay Ahead of AI Threats: Secure LLM Applications with Trend Vision One - Slopsquatting: When AI Agents Hallucinate Malicious Packages - Unveiling AI Agent Vulnerabilities Part V: Securing LLM Services - The Rise of Residential Proxies as a Cybercrime Enabler - Unveiling AI Agent Vulnerabilities Part IV: Database Access Vulnerabilities
Urged by one and all to "tone down" what media pundits and political elites describe as "strident," even "violent" rhetoric that has "poisoned" our "national conversation" and "sharply polarized" the population, the shooting rampage in Tucson which claimed six lives, including that of a nine-year-old girl is, in fact, emblematic of the moral bankruptcy and utter hypocrisy of those selfsame capitalist elites. Faced with an unprecedented economic crisis that has destroyed the lives of tens of millions our fellow citizens, not to mention aggressive wars which have cratered entire societies and murdered hundreds of thousands of people who have done us no harm, when, pray tell, will the "conversation" turn to the unprecedented annihilation of democratic institutions and the rule of law which exonerates, even celebrates, those who murder, maim and torture on an industrial scale? Just last week, the Obama administration announced plans to roll-out an "identity ecosystem" for the internet. Although passed over in silence by major media, at the risk of being accused of "incivility," particularly when it comes to the "hope" fraudster and war criminal in the Oval Office, Americans need to focus--sharply--on the militarists, political bag men and corporate gangsters working to bring George Orwell's dystopian world one step closer to reality. Earlier this month, CNET disclosed that the administration "is planning to hand the U.S. Commerce Department authority over a forthcoming cybersecurity effort to create an Internet ID for Americans." White House Cybersecurity Coordinator Howard Schmidt said that the secret state's latest move to lower the boom on privacy and free speech will embed the surveillance op at the Commerce Department. Schmidt, speaking at the Stanford Institute for Economic Policy Research said Commerce is "the absolute perfect spot in the U.S. government" to centralize these efforts. According to CNET, the move "effectively pushes the department to the forefront of the issue, beating out other potential candidates, including the National Security Agency and the Department of Homeland Security." Really? I don't think so. NSA Clearly in the Frame Last week, Government Computer News reported that the secretive Pentagon spy shop broke ground on a "massive new National Security Agency cyber intelligence center in Utah." The multibillion dollar facility (cost overruns not included) "will have 100,000 square feet of raised-floor data center space and more than 900,000 square feet of technical support and administrative space" that "will support the Comprehensive National Cybersecurity Initiative." In September, NextGov reported that then Deputy Director of National Intelligence for Collection, Glenn Gaffney, said the new data center "would support the intelligence community in providing foreign intelligence about cybersecurity threats and protect Defense Department networks." Back in 2009, investigative journalist James Bamford wrote in The New York Review of Books that "the mammoth $2 billion structure will be one-third larger than the US Capitol and will use the same amount of energy as every house in Salt Lake City combined." While corporate media tell us that the center will "enhance" the nation's capacity to thwart "cyber threats" the fact is, Bamford wrote, the complex will "house trillions of phone calls, e-mail messages, and data trails: Web searches, parking receipts, bookstore visits, and other digital 'pocket litter'." In other words, the vast data repository will serve as "spy central" for our digital minders. "Just how much information will be stored in these windowless cybertemples?" Bamford wondered. According to a report prepared for the Pentagon by the ultra-spooky MITRE Corporation, "as the sensors associated with the various surveillance missions improve, the data volumes are increasing with a projection that sensor data volume could potentially increase to the level of Yottabytes (10 to the 24 Bytes) by 2015." This is "roughly equal to about a septillion (1,000,000,000,000,000,000,000,000) pages of text, numbers beyond Yottabytes haven't yet been named," Bamford avers. Leaving aside disinformational pyrotechnics by media cheerleaders that the NSA's data equivalent of a Wal-Mart supercenter will primarily exist for "cybersecurity," "foreign intelligence" and protecting "Defense Department networks," Bamford counters that "once vacuumed up and and stored in these near-infinite 'libraries,' the data are then analyzed by powerful infoweapons, supercomputers running complex algorithmic programs, to determine who among us may be--or may one day become--a terrorist." "In the NSA's world of automated surveillance on steroids" Bamford avers, "every bit has a history and every keystroke tells a story." Or as Cryptohippie puts it far less delicately, every keystroke or cellphone ping is "criminal evidence, ready for use in a trial." Just what are they up to? Even Congress, always willing to give the Executive Branch a free pass when it comes to blanket surveillance, doesn't know. Last week the Associated Press reported that "the Pentagon failed to disclose clandestine cyber activities in a classified report on secret military actions that goes to Congress." Citing "gaps" in reporting requirements on clandestine operations, "emerging high-tech operations are not specifically listed in the law," AP averred. After all, "cyber oversight is still a murky work in progress for the Obama administration." Perhaps AP and other media outlets should look more closely at what's hidden inside that "murky work" and where its authority comes from. "Oversight" is certainly not part of the equation. Cybersecurity's Brave New World As Antifascist Calling previously reported, the operational nuts-and-bolts of the Comprehensive National Cybersecurity Initiative (CNCI) is a closely-held state secret that derives authority from classified annexes of the National Security Presidential Directive 54, Homeland Security Presidential Directive 23 (NSPD 54/HSPD 23) issued by our former "decider." Those 2008 orders are so contentious that both the Bush and Obama administrations have refused to release details to Congress, prompting a Freedom of Information Act lawsuit by the Electronic Privacy Information Center (EPIC) demanding the full text of the underlying legal authority governing "cybersecurity" be made public. Details on the "trusted identity" scheme are scarce, but back in July Antifascist Calling reported that the secret state had deployed New York Times reporter John Markoff as a conduit for administration scaremongering. Schmidt told the "Gray Lady" that administration plans involved "a 'voluntary trusted identity' system that would be the high-tech equivalent of a physical key, a fingerprint and a photo ID card, all rolled into one." According to the Times, "the system might use a smart identity card, or a digital credential linked to a specific computer, and would authenticate users at a range of online services." U.S. Commerce Secretary Gary Locke was quick to downplay the more sinister implications of the hustle saying, "We are not talking about a national ID card." CNET reported Locke's claim that "we are not talking about a government-controlled system. What we are talking about is enhancing online security and privacy, and reducing and perhaps even eliminating the need to memorize a dozen passwords, through creation and use of more trusted digital identities." Why bother with privacy when surrendering your rights is so convenient! Touted as a warm and fuzzy "identity ecosystem," Government Computer News reported that the National Institute of Standards and Technology (NIST) has even launched a dedicated website hawking the National Strategy for Trusted Identities in Cyberspace (NSTIC). According to NIST, "NSTIC envisions a cyber world--the Identity Ecosystem--that improves upon the passwords currently used to login online." We're informed that the "Identity Ecosystem will provide people with a variety of more secure and privacy-enhancing ways to access online services. The Identity Ecosystem enables people to validate their identities securely when they're doing sensitive transactions (like banking) and lets them stay anonymous when they're not (like blogging). The Identity Ecosystem will enhance individuals' privacy by minimizing the information they must disclose to authenticate themselves." Government Computer News tells us that the "identity ecosystem" isn't envisaged as a "national Internet ID to track online activities." The devil's in the details and what little we do know should set alarm bells ringing. The program office will "support and coordinate interagency collaboration" and "promote pilot projects and other implementations." Which agencies are we talking about here? What pilot projects and "other implementations" are being alluding to? We don't know. We do know however, that the National Security Agency and Department of Homeland Security have forged a Memorandum of Agreement which will increase Pentagon control over America's telecommunications and electronic infrastructure. In fact, as the Electronic Frontier Foundation disclosed in October, DHS has been tracking people online and that the agency even established a "Social Networking Monitoring Center" to explicitly do so. Documents obtained by the civil liberties watchdog group revealed that the agency has been vacuuming-up "items of interest," systematically monitoring "citizenship petitioners" and analyzing "online public communication." Wouldn't an "identity ecosystem" greatly facilitate online spying, despite administration claims to the contrary? While the system is "voluntary" and individuals will not be compelled to sign up, the secret state is lusting after a sure fire means to identify the billions of computers, smart phones and other digital devices that plague us. And even if you choose not to "opt in," well, plans are already afoot by advertising pimps and their partners in the national security state "to collect the digital equivalent of fingerprints from every computer, cellphone and TV set-top box in the world," The Wall Street Journal recently disclosed. As with all other aspects of the "War on Terror" threatscape, the closer one looks at the Obama regime's "identity ecosystem" the less warm and fuzzy it becomes.
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Cracking the Code? The Allure and Illusion of Using Machine Learning to Predict Lottery Numbers The lottery. A siren song of instant wealth, echoing in the dreams of millions. As technology advances, so too does our ambition to tame chance. The rise of machine learning, with its seemingly magical ability to discern patterns in vast datasets, has inevitably led to a tantalizing question: can we harness its power to predict the elusive winning lottery numbers? The premise is seductive. Lottery 539 results, spanning years, even decades, form a massive dataset. Machine learning algorithms, adept at identifying subtle correlations and anomalies invisible to the human eye, could theoretically analyze this historical data. Perhaps they could uncover hidden biases in the drawing process, identify recurring patterns in the numbers drawn, or even predict future outcomes based on past trends. Enthusiasts and even some entrepreneurs have ventured down this path. They employ various machine learning techniques, from simple regression analysis to more complex neural networks and time series forecasting models. The input data often includes not just the winning numbers themselves, but also factors like the day of the week, the time of the draw, and even external events that might, in some convoluted way, influence the outcome (though the logic here often stretches credulity). The allure is understandable. Imagine an algorithm that could consistently beat the odds, transforming a game of pure chance into a predictable investment. The financial rewards would be astronomical, and the implications for our understanding of randomness profound. However, the reality of using machine learning to predict lottery numbers is far more grounded in statistical probability than algorithmic wizardry. The fundamental principle of a well-designed lottery is randomness. Each draw is intended to be an independent event, meaning the outcome of previous draws has absolutely no bearing on future results. The balls in the drum (or the numbers generated by an RNG) have no memory. While machine learning excels at finding patterns, it struggles when confronted with true randomness. Any apparent patterns identified in historical lottery data are likely to be statistical noise – random fluctuations that appear significant but hold no predictive power. Trying to find a predictable sequence in truly random data is akin to seeing shapes in clouds; the pattern exists only in the observer’s eye, not in the data itself. Furthermore, even if there were some minuscule, non-random element in a lottery system (a slight bias in the weight of a ball, for instance), the effect would likely be so infinitesimally small and overwhelmed by the inherent randomness that it would be practically undetectable, even with sophisticated machine learning algorithms and vast datasets. The numerous websites and software programs claiming to offer lottery prediction based on machine learning are, at best, offering a form of sophisticated numerology. They might present compelling visualizations and statistical analyses of past results, but their ability to predict future outcomes is no better than random guessing. Often, these services prey on the hopes and desperation of individuals seeking a shortcut to wealth. It’s also crucial to consider the sheer number of possible combinations in most lotteries. With millions upon millions of potential outcomes, the dataset of historical winning numbers, even spanning decades, represents a tiny fraction of the total possible space. Training a machine learning model on such a sparse dataset to accurately predict the next winning combination is a statistical impossibility. The success stories often touted by these prediction services are invariably the result of pure chance. Someone, somewhere, using some system (machine learning-based or otherwise), will occasionally match some or all of the winning numbers. This is simply a consequence of the large number of people playing and the laws of probability, not a testament to the predictive power of the algorithm. In conclusion, while the idea of using machine learning to predict lottery numbers is captivating, it fundamentally misunderstands the nature of a truly random system. Despite the impressive capabilities of machine learning in various domains, predicting the lottery remains firmly in the realm of wishful thinking. The algorithms might be sophisticated, and the data vast, but against the unwavering force of randomness, they are ultimately powerless. The lottery remains a game of chance, and the only reliable way to win is through the improbable magic of luck, not the calculated precision of an algorithm. So, while exploring the possibilities of machine learning is always valuable, when it comes to the lottery, it’s best to temper technological optimism with a healthy dose of statistical reality.
- Policy Quick Reference - Non Personally Identifying Information - Potentially Personally Identifying Information - Collection of Personally Identifiable Information - Personally Identifiable Information and how it’s protected - Third Party Links - Trusted Third Party Partners - How we use your Personal Information - Your Rights Concerning Your Personal Information - Data Retention Time - Personal Data Breach - Your right to lodge a complaint - Contact Details ACME Joinery and Cabinet Pty Ltd (hereafter “we” or “us”) respects your right to privacy and security especially when it comes to your Personal Data and other sensitive information. We respect your right to know what data we collect, how we collect it, what we do with it, and your right to choose. This document outlines how we use and protect your personal information, and most importantly how you can have your say regarding this, after all, it is your data. As an Australian based business, we are required to comply with the Australian Privacy legislation. As the internet is a global community and the rest of the globe is working towards international compliance, we have also made the decision to where possible comply with the General Data Protection Regulations (GDPR) as regulated in the European Union (EU). This far stricter legislation is a move in the right direction and long overdue. We expect Australian Privacy legislation to eventually change too, providing all Australian’s with the same level of individual control over our private data, as the rest of the world expects and demands. Until that happens, we will do what is expected by us and our customers anyway. We do this because personal control over your own private data, can never really be a bad thing. Non Personally Identifying Information We, like the vast majority of websites, collect non-personally-identifying information from their Website Visitors of the type that web browsers and servers record and supply. These are such things as your browser type, the language you speak and use, time and date that you visit our site and which pages you visit. Referring websites such as Google, Bing or other third-party websites are also collected. From time to time this non personally identifying information may be released and shared with trusted third-party partners for reports and other information gathering processes, in an effort to improve the visitors’ experience on our website with future upgrades and functions. This non personally identifying information is classed as essential to the operation and functionality of our website. Without it, it would not be possible to provide you a complete and operational website to service your needs. Rest assured we cannot identify “real people” from this data. It helps us see things like “English speaking UK based visitors up 25% this month” or “Total site traffic from all sources down 12%”. We really don’t know or care what “Bob Smith” the individual was doing, as we don’t need that information to function. Potentially Personally Identifying Information We also collect Potentially Personally Identifying Information such as Internet Protocol (IP) addresses and other identifying information to enable us to serve up to you a better user experience and to help improve our website. We do NOT use this information to identify our website visitors/users other than in the ways listed below. Collection of Personally Identifiable Information We here at ACME Joinery and Cabinet Pty Ltd only have access to your personally identifiable information, other than IP Addresses, when you, the User supply such information by way of completing a “form” or sending us an “email” or opting into a “promotion”, purchasing our products or other types of activity where the user supplies us such information or has any other voluntary interaction with us. The amount and type of information collected and stored is dependent on the type of interaction the visitor/user engages in. All such information collected will always be handled and stored in the most safe and secure way in accordance with current legal guidelines and regulations. We do need that information to function, as without it we don’t know where to ship your order, or how to contact you to answer your questions, or let you know when an item you are waiting for is back in stock. It is linked to your account and we can only view it, after you consent and physically give it to us. Personally Identifiable Information and how it’s protected We only disclose your Personally Identifiable Information to our Administrators, all based here in Australia and to our trusted third-party partners who have proven that they are compliant with all current legal guidelines and regulations. Your Personally Identifiable Information is stored and protected on our secure servers or the secure servers of our trusted third-party partners and regular security and maintenance checking occurs to ensure that these servers stay up to date with the latest technologies. We have NOT, do NOT, and will NOT supply, sell, swap or exchange your Personally Identifiable Information to any unauthorised party. Your Personally Identifiable Information may from time to time be supplied to other parties when we are required to by law, or when we believe in good faith that supplying such information is being done to protect us, our trusted third-party partners or the public in general. If you agree we may from time to time contact you, usually by email to inform you of appropriate promotions and developments concerning our site, products and services, or to request either general or specific feedback from you. We hate spam and are sure you do too, therefore, we will not contact you very often, other than in response to a direct request for contact from you, a newsletter subscription, restock notification or contact form questions being good examples. The shopping cart, social media sharing plug ins, and discount coupon codes are great example of website components that are reliant on Cookies to function correctly. We request that when you first visit our site you choose what level of cookie use you consent to. Once you have made this choice our website will remember your choices and respect them. Our system will periodically ask you to re-consent to your data collection as regulated by law. This is usually, but not always, every 60-90 days. Third Party Links In an effort to increase your User Experience, to occasionally recommend other services and to sometimes supply you with value added content we occasionally place third party links within the content of our website. Where possible the destination of these third-party links has been checked for GDPR/APP Compliance but at no point do we offer any guarantee of this. We recommend that when visiting these third party websites that users should take the time to read their “Privacy & Cookie” policies and their “Terms and Conditions”. Trusted Third Party Partners We partner with Trusted Third Party Partners to facilitate some functionalities within our site. We only partner with recognised third parties that have satisfied us that they are compliant with all relevant and current legal guidelines and regulations. These Trusted Third-Party Partners are: - Google LLC. How we use your Personal Information The personal Information/data we collect from you is used in several ways but always in accordance with the current relative legislation’s and guidelines. What Legal Grounds relate to the processing of Personal Information. Although there are many different Legal Grounds for personal Data Processing, the 3 Legal Grounds that relate to your personal data and the processing by us are: - The Legitimate Interests in the effective delivery of products, services and information to our Users. - Explicit Consent given by our Users. - Legal Obligations as required by legislation and relevant Laws. Your Rights Concerning Your Personal Information Personal Data Access Personal Data collected, Stored and Processed by us remains the property of the User from whom it was collected and as such the User has the right to request a copy of this information. We are required to supply this information in a timely manner by way of a secured process that insures it is only supplied to the User to which it belongs. To request your data please contact us here… Personal Data Rectification We have a responsibility to ensure that any data collected, stored or processed is correct. If a User finds an error in any of their Data stored by us the User has the right to request that the data be corrected. To request the correction of your data please contact us here… Your Right to be Forgotten We are obligated to respect a User’s Right to be Forgotten. If a User requests that their data collected, stored and processed by us, be deleted we are obliged to comply within a reasonable time. To request the deletion of your personal information please contact us here… Data Retention Time Personal information collected by us is kept for the appropriate time required for the purpose for which the user has given consent or for the period required by any governing laws for conducting a business in Australia. Personal Data Breach Although every effort is made to protect both the users’ personal information and ACME Joinery and Cabinet Pty Ltd the possibility of a “Data Breach” is always there. Under legislation we are required to notify the Government Controlling Body and the relevant User if such a breach occurs. This notification must be actioned within 21 days of a breach occurring. Your right to lodge a complaint As the owner of your personal information you have the right to lodge a complaint if you feel that we have collected, stored or processed your personal information in a way that breaches the relevant legislation and guidelines. The process to action a compliant is to firstly contact ACME Joinery and Cabinet Pty Ltd here… If we do not satisfy you with an appropriate responding action you may then contact the governing body as detailed below: Office of Privacy Commissioner We reserve the right to action such updates as required by Government Legislation and other governing laws.
Do you use your phone like a … well, phone? With the potential for “Google Voice” to come into Canada someday (hopefully sooner than later), and Dell Voice (as well as many of the other VOIP apps out there, like FRING, etc…), I wonder how many people are actually using voice plans. I took a look at Dell’s plan for their long distance in non-ascribed areas, and it’s 2¢/minute. I know that sounds cheap, but it’s not the best long distance rate out there. Then I took a look at my own plan. I’m with Tbaytel, and their lowest voice plan option, which is $30 for 100 minutes. Mind you the lowest plan doesn’t give you the best $/min rate… but that’s still 30¢/min. Even at their top plan it’s just over 8¢/min. So we pay MORE for a minute than we would for long distance on a VOIP plan. Now I could sit down and do the math of using VOIP for data and how much data we could consume for the same… okay, I’m a math guy, I’m going to do the math… Personally I have 200 minutes a month plan — at 1MB / minute (from Dell Voice’s FAQ, which seems high to me, so we’ll use it) that would roughly 200MB of strictly data. I have a 500MB plan for $25/month. Which works out to 5¢/MB (and if we use the fact that 1MB = 1 minute, it’s still CHEAPER than a voiceplan). So if I were to purchase just VOIP data, I’d be paying only $10/month for VOIP calling. Well over what I’m paying now. But then again I’m not using all of my voice plan anyways. So, of my 500MB plan a month I’m using a little over 300MB or so a month, so if I could buy JUST a data plan, it might work for me. I would lose out caller ID etc… and the fact that DELL VOICE doesn’t work in my area (I’d have a long distance number to call in). But this doesn’t take into account that often I’m in my house or office or a location with WiFi, so I’d probably use less ‘data’ that I’d be paying for. It’s an interesting proposition to go VOIP only. If I had a local number, and could buy a data only plan… I’d do it. Heck, I’d be saving money each month. Even if I upped my data plan and dropped all the voice options. Telecoms, are you paying attention? So I wanted to ask, are you using voice plans? If so, in what relation are you paying for it vs. your data plan?
AI agents like Rabbit aim to book your vacation and order your Uber : NPR Overreliance on bots can be a turnoff for customers regardless of age or geographic location. Mills says if you want to find chatbots that work, check out the retail, telecommunications and hospitality industries, which use human agents with AI in a more seamless way. I’m still waiting for an example of a company that hits it out of the ballpark, with raving customers and lower costs. ✓ Beyond simple customer support, many consumers still prefer human agents to chatbots. Respondents and around 40 percent of U.S. respondents said they’d prefer a person. AI systems must improve to have up-to-the-minute information to make travel bookings at the best prices, but plenty of companies, like Expedia, are working to make this possible. Fans who weren’t able to secure tickets during the Verified Fan or Capital One presales were shocked when Ticketmaster announced that the general sale planned for Friday, Nov. 18 was officially canceled. Even before ticket sales kicked off, the demand for Swift’s upcoming tour was high — so much ChatGPT so that the Midnights singer added an additional 17 performances, bringing the total to 52 shows. The extra dates officially made Eras her biggest tour to date. The saga started back when Swift first announced she was going on tour following the release of her 10th studio album, Midnights. Concluding Thoughts on Travel Chatbots What’s interesting about regulations, I’m in favor of regulations in general. At Booking.com, I’m the one who’s responsible for that, so I guess I have conversations with myself about that. But the thing is, at the end of the day, and I say, it’s how do we make decisions? We make decisions, as I said, on data, but also, what’s really important to me is listening — really listening. And just because I have the title of CEO doesn’t mean I know everything. My biggest decision is really making sure that I’m hiring the right people, the best people, and even there, I’m using other people to help me make that decision. Now, what a lot of people also don’t know is that we’ve been growing very rapidly in that area and expanding. The reason they don’t know is because in the US, we’re not as big in the homes area as we are in other parts of the world. AI can even take it a step further to help tailor itineraries based on personal preferences and time limits. travel bots From there, users can continue giving directions to the AI for further hyper-personalization. But keep in mind — the more specific users are with their requests, the better information the chatbot will provide. A new device called Symptom Sense could give airlines a better idea of a passenger’s health status than a temperature reading. The AI Chatbot for the Travel Industry This story originally appeared on Ars Technica, a trusted source for technology news, tech policy analysis, reviews, and more. Air Canada argued that because the chatbot response elsewhere linked to a page with the actual bereavement travel policy, Moffatt should have known bereavement rates could not be requested retroactively. Instead of a refund, the best Air Canada would do was to promise to update the chatbot and offer Moffatt a $200 coupon to use on a future flight. Given the success of Midnights, Swift’s overall popularity and the fact that the singer-songwriter’s previous tour had been canceled due to the pandemic, Eras was immediately projected to be the hottest ticket of the year. The Midnights singer’s loyal listeners have taken the company to task after the ticket-buying process for her upcoming Eras Tour resulted in chaos. In addition to a lawsuit filed by over two dozen fans against Live Nation Entertainment, Ticketmaster’s parent company, the Swifties are taking their complaints against Ticketmaster all the way to D.C. “It’s a bit of a gateway drug in the sense that it’s a pretty easy crime to do,” said Gosschalk. Hackers can move on to money laundering, ransomware and credential-stuffing attacks on bank accounts. How ChatGPT and AI can (and can’t) help with gathering flight, hotel, restaurant, and destination information. There’s other issues here, especially in the comparison to Google. They do operate as separate entities, but we do try to bring them together for coordination. And of course, the Holdings company has a responsibility to enforce certain things that are standard that you have to have, just something as simple as privacy or, say, something like security. These are things that you want to enforce across the entire organization at once. Trip.com, based in Singapore, released a chatbot earlier this year. Expedia has released the first version of a travel planning chatbot powered by ChatGPT on its mobile app. Expedia Group is the biggest player in travel to have publicly released a chatbot tool powered by ChatGPT. This is just the beginning, and if any anyone has the resources to really see what this tech can do in travel, it would be companies like Expedia. Given the possibilities to assist with travel planning efforts, travel companies see massive potential to augment and enhance consumer interactions and travel experiences through AI. “This technology is a big deal,” says Michael Chui, partner at McKinsey & Company and McKinsey Global Institute. “At the same time, there are questions about how much of this will affect people’s lives right now versus in the future, as it continues to develop.” Big Tech has been scrambling to keep up with ChatGPT’s runaway success. In recent weeks, both Google and Microsoft have announced new chatbots. How to try Meta’s AI chatbots for yourself “Whatever you can do to reduce the amount of people that are stuck there is a good idea,” says Paloma Beamer, a professor of public health at the University of Arizona. A security officer at the Istanbul Airport uses a thermal temperature scanner to scan passengers. While the devices can help identify people with fevers, they cannot detect COVID-19. Robots clean the floor with UV light at Pittsburgh International Airport. The Optimus prototypes were able to walk without external control using artificial intelligence, the people said. When chatting with an AI chatbot actually feels like a conversation, and not just a curated, scripted back-and-forth, then I’ll have my concerns about the tech. But for now, this is an interesting experiment Meta likely paid a lot of money for. He imagines that, just like in the movie, microrobots could swirl through a person’s blood stream, seeking out targeted areas to treat for various ailments. Today, we are living in an era of micrometer- and nanometer-scale robots,” Lee said. Air Canada introduced Artificial Intelligence Labs in 2019 to apply AI towards improving its operations and customer experience. Will AI revolutionize travel? Speaking before the announcement today, Elmore told WIRED she fears that the way Meta released Llama appears in violation of an AI risk-management framework from the US National Institute of Standards and Technology. Meta AI was announced by Meta CEO Mark Zuckerberg at an event today that saw a slew of generative AI updates overshadow the announcement of the new Meta Quest 3 VR headset and a new model of smart glasses. “It should be obvious to Air Canada that it is responsible for all the information on its website,” Rivers wrote. “It makes no difference whether the information comes from a static page or a chatbot.” Because Air Canada seemingly failed to take that step, Rivers ruled that “Air Canada did not take reasonable care to ensure its chatbot was accurate.” If Air Canada can use “technology to solve something that can be automated, we will do that,” Crocker said. - And I don’t see it as being a huge issue for us at this time. - Airlines used to treat plane aisles as mini fashion runways, with smartly dressed flight attendants (think Pan Am’s stewardesses in mod blue suits circa 1971). - In the $130 billion market capitalization, these are enormous numbers for most companies, but it’s compared to the scale of the opportunity because travel is so big. - You can also use Meta AI assistant in a similar fashion to ChatGPT, including as an AI image generator. You can foun additiona information about ai customer service and artificial intelligence and NLP. Oasis, the band everyone likes to sing after too many pints at karaoke, is going on tour. Well, not exactly on tour—it’s more like 17 dates in the UK and Ireland in summer 2025. Still, considering the band broke up in 2009 and has just reunited, this is what most people are calling a big deal. Experts told the Vancouver Sun that Air Canada may have succeeded in avoiding liability in Moffatt’s case if its chatbot had warned customers that the information that the chatbot provided may not be accurate. Initially, the chatbot was used to lighten the load on Air Canada’s call center when flights experienced unexpected delays or cancellations. Air Canada did not respond to Ars’ request to confirm whether the chatbot is still part of the airline’s online support offerings. Elon Musk went all-in to elect Trump. What a second Trump presidency could mean for big tech Bard and Bing aim to shift the trip planning process from stage one. If users follow, it’s likely to disrupt not only the traveler’s experience but the ad business model for search and the marketing ChatGPT App strategies brands employ. “A lot of people are thinking about vascular diseases,” Nelson says. Microrobots could be injected and dissolve blood clots in the brain to treat stroke patients. Dynamic pricing is a win-win for travelers and businesses — it can help travelers on a budget find the cheapest options for transportation and lodging, and it helps maximize profits and revenue for businesses. Chatbots and virtual assistants have become an essential part of the customer service world and can often help improve customer satisfaction. According to a study from Tidio, 62% of customers say they would rather use an online chatbot than wait for human assistance. We don’t know when the hacker gained access to John’s frequent flier account. It’s entirely possible they performed a successful credential stuffing or credential cracking attack near when the rewards account was opened—and bots were set up to automatically redeem points for whatever the fraudster wanted. But through one account that wasn’t properly secured, John lost years of effort and rewards. - Meta AI, as the assistant is called, is powered by the company’s large language model Llama 2. - Relying completely on automation is certain to push customers away. - We’re able to personalize and provide better services to them so they then feel a need, a desire, to come back to us. - We won’t have to increase the number of CS agents at the same rate because the simpler cases will be handled by these AI customer agents. That was true of all the models, including versions of the GPT bots developed by OpenAI, Meta’s Llama, Microsoft’s Phi-3, Google’s Gemma and several models developed by the French lab Mistral AI. These errors are typically described by AI researchers as “hallucinations.” The term may make the mistakes seem almost innocuous, but in some applications, even a minuscule error rate can have severe ramifications. The promoters generally depict their products as dependable and their output as trustworthy. In fact, their output is consistently suspect, posing a clear danger when they’re used in contexts where the need for rigorous accuracy is absolute, say in healthcare applications. The robot’s capabilities have long been closely watched by investors, even if the product’s launch timing remains uncertain. Observers noted that in 2022, an early prototype had to be carried by people on stage. We have not done as much of that as I would like; we’ll do more of that in the future, I think. It’s really giving people new opportunities and different opportunities that would be an important thing, I think, for a lot of people. Plus, I think people also enjoy new challenges and coming up with new things. Yes, I’ll ask questions, and I’ll listen to the answer and see how confident that person is speaking, that person really knows what they’re saying, and that it makes sense what they’re saying.
CoinW, the world’s pioneering cryptocurrency trading platform, has introduced AIAT tokens to its Innovation zone as of January 15, 2024, at 12:00 (UTC). Following its debut, AI Analysis unveiled a suite of pioneering Crypto and AI-based financial products, including the AIA MasterCard, AIA Token (AIAT), AIA Academy, and AIA Exchange. These offerings promise to redefine the landscape of digital finance by integrating cryptocurrency with practical financial applications seamlessly. To celebrate the listing, CoinW is set to offer an exclusive rewards program valued at $2,500, specifically for CoinW users. AIA Mastercard: A Paradigm Shift in Crypto-to-Fiat Transactions The AIA Mastercard, as described by Faisal Rahman, the CEO of AI Analysis, is more than just a payment card. “It’s a revolutionary step in bridging the gap between cryptocurrency and real-world transactions, offering unparalleled convenience and freedom to our users,” says Faisal. With exceptional spending limits, including up to €2,000 in daily ATM withdrawals, a €10,000 daily spending limit, and an enormous €100,000 monthly spending limit, the AIA MasterCard sets new benchmarks in the industry. “This is just the beginning,” Faisal adds, indicating plans for higher-limit cards to cater to both high-volume traders and everyday users. AIA Token (AIAT): The Cornerstone of AI Analysis Ecosystem The AIA Token (AIAT) stands as the cornerstone of the AI Analysis ecosystem. This utility token enhances user experiences across AI Analysis platforms, seamlessly connecting various services within the ecosystem. “The AIA Token’s versatility extends from the AIA Academy to all our products, symbolizing our commitment to innovation and user-centric design,” explains Faisal. The token is a critical component that facilitates a range of services and transactional efficiencies within the ecosystem. AIA Academy: Leading the Charge in Crypto Education AIA Academy is praised as the world’s first digital asset prop trading firm utilizing AI learning. It represents a beacon for both aspiring and seasoned traders, offering courses ranging from basic crypto trading principles to advanced strategies. “Our academy is unique in its approach, blending traditional trading concepts with the latest AI insights. We are committed to fostering a learning environment that prepares traders for real-world trading scenarios,” Faisal comments. Successful graduates from the academy have the opportunity to manage AIA-funded accounts, applying their honed skills in practical settings. AIA Exchange: Innovating Cryptocurrency Trading The AIA Exchange stands as a testament to AI Analysis’s prowess in crafting a user-friendly yet powerful trading platform. Integrating AI-driven analytics, the exchange offers valuable market insights, aiding traders in making informed decisions. “We support a wide range of digital assets, ensuring that our traders have access to the best tools and resources in the market,” says Faisal. The exchange is designed to cater to traders of all levels, from beginners to experts, providing a robust platform for trading digital assets. Crafting A New Era in Digital Finance AI Analysis, through its innovative products, is redefining the digital finance landscape. “The collective capabilities of the AIA MasterCard, AIA Token (AIAT), AIA Academy, and AIA Exchange represent a significant leap forward in integrating AI and blockchain into everyday financial activities,” Faisal concludes. With a commitment to innovation, user experience, and the application of cutting-edge technologies, AI Analysis is positioned to lead the future of digital finance. Future Plans of AI Analysis AI Analysis invites users globally to experience the next level of crypto finance. “Our mission goes beyond providing financial services; we are pioneers and educators at the cutting edge of digital finance,” Faisal asserts. The company plans to introduce additional features, including cash back programs, partnership deals, expansion of cryptocurrency support, and much more. CoinW is a pioneering crypto trading platform that prioritizes security, transparency, and user-centric principles. With advanced technology, deep liquidity, and a wide range of supported cryptocurrencies, the company has amassed a broad user base to become one of the world’s most secure crypto exchanges. Committed to security, transparency, and compliance, the CoinW exchange upholds the highest regulatory standards and actively contributes to the advancement of the crypto industry. To learn more about CoinW, you can visit the official website, and follow CoinW’s Twitter Account, Btok, and Telegram Group. About AI Analysis AI Analysis is a dynamic leader in the fusion of AI, blockchain, and FinTech. We are dedicated to making cryptocurrency transactions as simple and secure as traditional banking. Our ecosystem includes the innovative AIA Mastercard, designed to bridge digital and conventional finance, the AIA Academy — the world’s first digital asset prop trading firm utilizing AI learning, and the AI Analysis Token (AIAT) at the core of our ecosystem. Additionally, our AIA Exchange offers a robust platform for trading digital assets. Through these offerings, AI Analysis not only simplifies financial transactions but also actively promotes the adoption and application of AI and blockchain technologies in real-world scenarios. We are more than a financial service provider, we are pioneers and educators at the cutting edge of digital finance. Explore the AI Analysis Ecosystem! Experience a revolutionary crypto experience by exploring the whole spectrum of AI Analysis products. Using the AIA Token (AIAT) to simplify your transactions, you may make use of a variety of useful tools, such as the versatile AIA Mastercard that makes it easy to spend cryptocurrency to innovative platforms like AIA Academy that integrate AI to educate users about cryptocurrency trading. Whether you’re deep into crypto or just starting, AI Analysis provides a gateway to a smarter financial future. Explore the AIA Ecosystem: https://aianalysis.group Be Part of AI Analysis Join a community of like-minded finance enthusiasts! Follow us on our social media platforms to stay updated with the latest news, insights, and exclusive offers from AI Analysis. Engage, learn, and be part of a growing community that’s at the forefront of financial technology innovation.
Extract PDFs, analyze files, and build custom pipelines IOMETE is a next-gen data lakehouse platform provider based in Mountain View, CA, offering solutions for AI and analytics with a focus on Apache Iceberg and Spark technologies. The company supports large-scale analytics with a modern, scalable, and user-friendly platform that can be deployed across various environments. IOMETE was founded in November 2020 in Amsterdam, The Netherlands. The company transitioned to a US corporation (Delaware C-Corp) in November 2021. Backed by leading startup accelerator Y-Combinator (W22 batch), alongside several family offices, VCs, and angels, IOMETE has positioned itself as a leader in the B2B infrastructure industry. Initially headquartered in Amsterdam, the company now operates out of Mountain View, CA, and maintains a fully remote team spread across eight different countries. IOMETE offers a next-gen data lakehouse platform designed for AI and analytics. The platform unifies data for large-scale analytics, enabling fast, scalable, and user-friendly data processing solutions. Powered by the Apache Spark engine and featuring the Apache Iceberg table format, IOMETE supports ACID transactions, time travel, snapshots, schema evolution, and more. The platform can be deployed on-premises, in the cloud, or in a hybrid configuration, with support for AWS, Azure, and Google Cloud deployments. Additionally, the company offers a free Community version and an Enterprise version of its platform. Compliance and Certifications IOMETE's platform adheres to high standards of data security and privacy, boasting SOC 2, GDPR, and HIPAA certifications. These certifications ensure that IOMETE meets rigorous standards for protecting sensitive information, making it a reliable choice for businesses requiring strict compliance measures. The company’s commitment to security and privacy provides users with confidence in handling their data securely across different regulatory environments. Resources and Documentation IOMETE provides a wealth of resources and documentation to support users of their platform. This includes extensive guides for using Apache Iceberg with IOMETE, a comparison of Apache Iceberg and Delta Lake in a case study, and a downloadable Apache Iceberg Cheat Sheet (PDF). The company maintains a comprehensive user guide on virtual lakehouses and an active blog filled with updates and insights related to their platform and industry. Further, they offer a sandbox environment for users to trial the platform and a booking option for discovery calls directly on their website. Team and Locations IOMETE is headquartered in Mountain View, CA, USA, and operates a fully remote team across eight different countries. The core team is compact, consisting of six members who bring diverse expertise to the table. Despite the small team size, IOMETE supports a broad operational reach, including regions such as the United States, America/Canada, and remote work landscapes. The company actively seeks engineers with talent and grit, reflecting its dynamic and growth-oriented vision.
Remember Himalayas servers? Himalaya was a project name for NonStop Servers sold in the early 1990’s. The connection between the Himalayas and NonStop was established then, and today the Himalayas are still very much part of NonStop, as a lot of NonStop development is happening in “Himalayas land”, in India, at Bangalore. As we near the end of the year, it’s clear that 2020 will live in infamy for many years to come. Between the COVID-19 pandemic, with a devastating loss of life now reaching 200,000 people in the United States, to terrifying weather such as lightning strike storms, temperatures reaching 130 degrees in Death Valley, massive forest fires in the West, hurricanes in the Gulf of Mexico, floods in the South and even a fire tornado being sighted in Northern California, we often feel like we’re living in a horror or disaster movie. High-Performance Computing (HPC) also known as the technology required for Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) is getting even better. I have a great interest in this and if you’ve seen some of my AI presentations I show a low-latency NSADI link between NonStop and the HPE Apollo HPC systems. With cyber-crimes increasing at an alarming rate daily, securing and protecting enterprise data is a top priority for all organizations. NonStop has long been touted by users as the company’s “crown jewel” for overseeing mission-critical applications, so it should be a top priority to protect NonStop applications and its content. That being said, it is important for NonStop users to avoid using custom solutions that might create the misconception that the platform is non-compliant and/or legacy. It is with a certain amount of sadness we have to announce the retirement of Neil Barnes from the NonStop Community. Neil has been a stalwart of the BITUG Chapter for over 25 years having been Chair on numerous occasions. Neil is a long-term advocate of NonStop having worked both on the platform with a software house and also Lloyds Bank. Whether you need to provision users on one or multiple HPE NonStop servers, XYGATE Identity Connector (XIC) elegantly integrates your NonStop servers with your SailPoint enterprise solution. Achieve user governance, provisioning and reconciliation of HPE NonStop user accounts directly from SailPoint. We have always heard the role of NonStop described as being best-suited platform where 100% uptime is mandatory; where the customer’s business cannot tolerate any exceptions; where nothing can be allowed to interrupt the works of the solution and where the application’s failure means the customer’s business fails. File integrity monitoring (FIM) exists because change is inescapable for most organizations. From variations in a company’s hardware assets, software programs, configuration states, permissions, and personnel, it is the one constant within IT environments. Some of these modifications may be authorized, while others will cause concern by their unexpected nature. Because of this, FIM is considered a vital requirement for security compliance frameworks to help identify unexpected or malicious activity across critical system files and protect business assets.
Lead scoring is supposed to be all about the numbers — a quantitative approach to determining where a lead stands in their buying journey and pinpointing exactly the right moment to hand them off from marketing to sales. But for years, lead scoring has been a hidden source of subjectivity within marketing and sales teams. Now, AI makes it possible to use historical data, rather than preconceived assumptions, to capture and quantify a hyper-precise snapshot of each prospect’s stage in the buying process. This novel approach, also called predictive lead scoring, is a true game-changer for sales and marketing teams. Let us explore why this paradigm shift is so important, and the benefits AI brings to the lead scoring landscape (and beyond). Where traditional lead scoring falls short Traditionally, lead scoring involves assigning a set number of points to a lead, based on certain characteristics (like demographic or firmographic data) or digital behaviors (like visiting a pricing page or downloading a gated piece of content). The higher the score, the closer the lead is to making a purchase — and after they cross a predetermined threshold of points, they are handed off to sales for one-on-one conversations. The problem with traditional lead scoring is the subjective nature of its underlying model. In many cases, sales and marketing leaders sit in a room, map out all the possible data points and online behaviors they can conceive, and assign a relative number of points to each — based on their collective beliefs about which behaviors are most likely to indicate likelihood to purchase. This approach relies on firsthand experience and human intuition, which are both valuable, but it does open the door for bias and subjectivity to enter the scene. For example, marketing and sales leadership at a B2B software company may have the perception that leads with senior-level job titles (like Directors, VPs, or C-levels) tend to convert at higher rates and set up their scoring model to assign higher points to these individuals. However, this could mean the scoring system undervalues champions with “lower” titles, such as managers or individual contributors. These may be the would-be customers who are actively seeking solutions and influencing purchase decisions, or even those with purchasing authority at smaller companies. In other words, not the type of leads you want to under-serve, even if their junior titles do not catch the attention of the people in charge of setting the lead scores. How AI lead scoring course-corrects for bias and subjectivity Rather than pre-determining criteria by committee, AI-powered lead scoring relies on your company’s historical data. These powerful models can aggregate and analyze volumes of demographic, firmographic, technographic, and intent or behavioral data from your closed-won and closed-lost deals. They understand exactly who these leads were and how they behaved prior to converting (or failing to convert). By slicing and dicing all this real-world data in mere moments, these complex algorithms have the capacity to identify hidden patterns and nuances within your datasets. This allows them to identify which combinations of characteristics and behaviors truly correlate with conversion, rather than relying on predefined assumptions. Continuing our SaaS example from above, an AI lead scoring model would account for job title — but it might determine that engagement metrics like online webinar attendance and content downloads are stronger indicators of lead quality than job title alone. And it may even detect that managerial-level leads tend to convert at a higher rate than C-suite leads. The AI lead scoring engine would use this real-world data to calibrate the relative importance of each specific job title, along with content engagement, building a more nuanced and accurate assessment of lead potential. Do not get us wrong: human oversight, experience, and intuition will always be valuable, and your manual lead scoring model still has a vital role to play (more on that below). But AI brings a previously unimaginable level of clarity and data-driven decision-making to the lead scoring process. The benefits of AI lead scoring In this way, AI-powered lead scoring delivers clear benefits over the traditional, manual approach: - By analyzing historical data, AI shifts your lead scoring model’s foundation from subjective assumptions to real-world information. - Rather than treating each datapoint or behavior as an isolated incident, AI provides a more nuanced score by considering the full picture of a prospect’s history of engagement and behavioral patterns. - AI delivers predictive lead scoring that anticipates how likely each lead is to convert, based on their similarities, shared characteristics, and common behaviors with your past closed-won deals. - This predictive lead scoring helps teams improve lead prioritization and ROI by focusing their time and efforts on the leads most likely to convert. - An AI lead scoring engine will continually improve over time by evaluating its own performance and refining its underlying model — unlike traditional lead scoring, which requires teams to manually measure, evaluate, and adjust models at recurring intervals. Despite these clear benefits, it is important to note that the technology powering AI lead scoring is still new — and some AI tools use a “black box” approach that prevents you from seeing and understanding exactly how the scoring model works. While AI capabilities evolve, you will want to maintain your traditional lead scoring system so you can evaluate how the different models compare and make sure your AI lead scoring engine is performing as expected. Before the score: AI fills your funnel by identifying and targeting new leads Of course, you don’t need to wait for a lead to enter your CRM and await a score to harness the power of AI for demand generation. You can use AI tools to fill your funnel in the first place by intelligently identifying and targeting high-quality leads. Identifying quality leads With AI capabilities, it’s become much more achievable to identify new leads who fit squarely within your ideal customer profile (ICP). Instead of casting a wider net and generating a larger volume of leads who may not be a good fit for your business, AI tools make it possible to laser-focus on identifying and contacting high-quality leads with a greater likelihood of conversion. For example, AI models can aggregate and analyze intent data, which includes online behaviors that signal a prospect’s interest in your product or service. These can include website visits, content downloads, email opens and clicks and other online interactions. By layering intent data with static information like demographics and technographics, AI tools can identify quality leads that have indicated some likelihood of purchase in the future. Targeting quality leads with improved personalization Once you’ve identified your new leads, AI can help you segment and target effectively with personalized outreach across all types of marketing campaigns, from account-based marketing (ABM) and content syndication to display adsand PPC. AI-driven personalization analyzes user data to understand preferences and characteristics and segments audiences accordingly. Generative AI tools like ChatGPT and DALL-E help marketers deliver tailored content to each segment by creating personalized versions of content that address more nuanced pain points and challenges. While human oversight is still needed to ensure all messaging is accurate and on-brand, these gen AI tools can significantly speed up the content creation process by generating tailored use cases or customizing headlines and visuals for a specific audience. For example, here’s how this could play out in an AI-assisted content syndication campaign: - Industry-specific personalization: A B2B software company can use AI to customize variations of a syndicated blog post about data security for the healthcare industry (highlighting specific issues around compliance) and the finance sector (discussing risk management and fraud protection). - Role-specific personalization: A syndicated eBook on digital transformation can be tailored with AI to emphasize strategic planning and ROI for C-level executives, while IT professionals would be targeted with a version that dives deeper into implementation and best practices. - Technographic personalization: For a company selling marketing automation software, AI can help generate customized landing pages that highlight integration capabilities with Salesforce or Hubspot—and then serve the appropriate page to visitors whose companies use that specific solution. - Account-based personalization: In an ABM content syndication campaign, you can use gen AI tools to quickly create personalized landing pages with content, case studies, and messaging designed to resonate with each target company’s industry and corporate culture. By reaching highly segmented leads with personalized content that resonates, you can improve engagement and help move them more swiftly along their buying journey. Harnessing the power of AI for demand generation In a time when demand gen marketers are repeatedly asked to do more with less, these kinds of AI capabilities offer a solution. Better data, improved segmentation, personalized content, and higher-quality leads: there’s a reason 92% of marketing leaders are already using AI and automation techniques, according to a study from global consultancy Algomarketing. Ready to join them? Check it out on how to use ChatGPT for effective B2B lead generation — it’s full of tips and tactics that you can start to put into practice today.
By James D’Arezzo, CEO of Condusiv Technologies. While advancements in data collection, analytics and electronic health records can lead to better healthcare, it also creates challenges for the healthcare sector’s IT departments. That’s because serious obstacles exist in terms of systems management and capacity. The sheer amount of healthcare data has skyrocketed from even a decade ago. Through advanced predictive analytics, this data can save lives by fostering the diagnosis, treatment and prevention of disease at a highly personalized level. To maximize the benefits all of this information can offer, healthcare organizations will need to make significant investments in data storage and infrastructure. With simple software fixes, many healthcare IT departments could easily free up half their bandwidth — essentially doubling IT budgets — by more efficiently using the infrastructure already in place. The health data tsunami Healthcare institutions must comply with more than 629 different regulatory mandates in nine domains, costing the average community hospital between $7.6 and $9 million. Much of that spending is associated with meaningful use requirements –- government standards for how patient records and data are stored and transmitted. The average hospital spent $760,000 on meaningful-use requirements and invested an average of $411,000 in hardware and software upgrades for their records systems in 2016 alone Because of the demands of healthcare record-keeping and continued advancements in medical technology, IT spending is rising exponentially. Along with that, medical research and development is booming to the point that institutions can’t keep up with the amount of data that needs to be stored and analyzed. Pharmaceutical and healthcare systems developers are also affected by the gap between data acquisition and analysis. Life sciences companies are launching products faster and in a greater number of therapy areas. This fast-paced technological evolution places even more pressure on healthcare IT departments to deliver both innovation and efficiency. Performance degradation occurs over time as the input/output (I/O) movement of data between the storage and computer/presentation layers declines. This degradation is particularly prevalent in the Windows environment. Luckily, targeted software solutions do exist that can improve system throughput by up to 50 percent without additional hardware. If I/O drags, performance across the entire system slows, which primarily impacts computers running on Microsoft SQL servers (the most popular database in the world.) The Microsoft operating system is also notoriously inefficient with I/O. In fact, I/O degradation is much more common than most organizations realize. More than a quarter of organizations surveyed last year reported that poor performance from I/O-heavy applications was slowing systems down. To handle this escalating volume of data, and to reap the enormous promise of impending medical developments, the healthcare sector’s IT chiefs need to stay focused on the basics of what they are being asked to do. While investments in storage and infrastructure will be helpful to a degree, big data is primarily a matter of processing a certain volume of information at a certain speed. The ability to do that is fundamentally dependent on the overall system’s I/O capacity—which can be affected only to a limited extent by additional hardware. New hardware can promise more I/O per second, but if the data it is processing is filled with small, fractured, random I/O it quickly becomes unmanageable. While additional hardware can temporarily mask this degradation, targeted software can improve system throughput by up to 50 percent and should be part of the IT toolkit for any large-scale healthcare organization. Appropriate system software is just as important as hardware. Data analysis is inherently slower than data acquisition. It can be made a great deal faster by optimizing the performance of existing servers and storage. Industry experts agree. A biomedical journal commenting on the recent Precision Medicine World Conference (Jan. 20-23, 2019, in Santa Clara, Cal.) observes, “The results from this type of research will likely offer countless opportunities for future clinical decision-making. In order to implement appropriately, however, the challenges associated with large data sets need to be resolved.” A recent report from the California Precision Medicine Advisory Committee echoes this assessment, adding that precision medicine will require significant investments in data storage, infrastructure and security systems in the coming years to achieve its full potential. The American healthcare industry is already wasting up to $1.2 trillion a year on completely unnecessary processes — $88 billion because of the ineffective use of existing technology alone. The first place many healthcare administrators can look to manage unnecessary spending is their current IT performance: I/O fixes can easily double system performance and speeds, creating more breathing room while accommodating increasing data storage needs. Maximizing the capabilities of your existing systems is also far more economical than expensive hardware upgrades.
ZUG, Switzerland, NEW YORK and BEIJING, Nov 10, 2017 – Datum, the upcoming marketplace for all types of data, has revealed that it has raised over US$4m from its ICO which commenced on 29 October. The tech start-up has also attracted three new industry professionals to its Advisory Board to help steer it to the next level of growth. Roger Haenni, co-founder and CEO of Datum, said: “We are excited to share that Datum has raised over USD $4M from over 2,000 backers since the start of our Token Sale on 29th October. Following our #TakeBackYourData campaign, over 65,000 people have signed up for Datum’s beta app access and we are looking forward to launching the global data marketplace that will redefine data privacy, ownership and monetization. So far Datum’s ICO has raised 9031.315 ETH in the first 7 days of sale, adding to 5000 ETH already collected in pre-sale. With three weeks remaining, the total stands at an impressive US$4,306,591.38. Datum’s Advisory Board has also been bolstered by three new high-profile additions, Jane Metcalfe, Kaliya Young and Joe Johnston, taking the advisory team to seven. Jane Metcalfe is the Co-Founder and former president of Wired Ventures, creator and original publisher of the magazine Wired. Roger added: “Jane joins Datum’s advisory board in order to help grow the ecosystem and work on reducing inequality between data creators in different countries. Datum’s mission is to open the data ecosystem and return ownership of data to data creators, who can then decide what to do with this newly found freedom. Kaliya Young, the Blockchain and Identity expert, known as “IdentityWoman” also joins Datum. Kaliya was the founder of Internet Identity Workshop and the Facilitator of Unconferences. She was the World Economic Forum (WEF) Young Global Leader in 2012. Roger said: “Identities that we know and privacy that we think of is long gone. The primary focus of a 21st century enterprise is to enable identity protection and have individuals and businesses prosper from the amount of data generated, rather than having data as a security risk. Also joining Datum’s Advisory Board is Joe Johnston, Co-Founder of Respect Network and Crowdlift. Joe is a crowdfunding marketing expert, early stage startup advisor and author of DockerIn Production. Roger said: “Joe joins Datum to help drive the message in the startup world, enabling contacts with companies who need data encryption and want to enable their users to #TakeBackYourData. Joe’s responsibilities are primarily on communications side, work hand in hand with the core team. The Datum Advisory Board now has seven members, also including: Chris Miess – Previously CFO at TenXraising $80M in their Token Sale. Before finding his passion for blockchain Chris was with Goldman Sachs, Deutsche Bank and Morgan Stanley. Daniel Saito – Managing Director for MySQL In Asia. Co-Founder of MariaDB (formerly known as SkySQL), Daniel is a seasoned Marketing and Sales Executive with decades of big data experience and crypto. Michael Egorov – Proxy Re-Encryption expert and CTO/Co-Founder of NuCypher. In the past, Michael was a Senior Software Engineer at LinkedIn; PhD in Physics of ultracold atoms. Janos Barberis – Founder of the Supercharger Accelerator, Asia’s leading FinTech Accelerator. Janos is recognized as a “Top-35 Global FinTech leader” by Institutional Investor Magazine.
With the continuous development of technology, face recognition access control products have become an integral part of modern life. Whether they are used in companies, schools, hospitals, or other locations, facial recognition access control systems offer increased security and convenience. However, with so many options available, it becomes a key question to choose the best face recognition access control product for your needs. In this article, we will introduce you to some important considerations to help you choose a face recognition access control product intelligently. Security is the primary consideration when choosing a facial recognition access control product. You need to make sure that the product you choose is effective in preventing spoofing, such as using photos or masks for identification. Find out if the product’s face recognition algorithms are highly accurate and reliable, and are capable of recognizing different facial features to ensure that only authorized personnel have access. In addition, find out about the product’s data encryption and storage policies to ensure that your facial data is properly protected. The security of facial recognition access control products is one of the key considerations in using this technology. Here are the key points to consider when it comes to the security of facial recognition access control products: Resistance to spoofing: The core of security is to ensure that the access control system is not susceptible to spoofing. The product should have the ability to resist spoofing means such as photos, videos and masks. Advanced facial recognition algorithms should be able to detect these spoofing attempts and deny unauthorized access. Ensure that the access control system has the ability to prevent hacking and attacks. This includes protecting the access control system from cyberattacks, malware and other security threats. Data Privacy: The access control system should strictly protect the user’s facial data. Ensure that the data is stored in an encrypted manner and that only authorized personnel can access and process it. The access control system should also be compliant with privacy regulations such as GDPR, HIPAA, etc. The access control system should ensure that only authorized users have access. This can be achieved through multi-factor authentication (e.g. facial recognition in combination with access cards or passwords) for added security. Data retention and deletion: The access control system should set out a clear data retention and deletion policy to ensure that a user’s facial data is not misused or stored permanently. It should be able to be securely deleted once the user no longer needs the data. As threats evolve, the access control system should have the ability to be security upgraded. This includes regularly updating the system to fix security vulnerabilities and improve the overall security of the system. Auditing and monitoring: Access control systems should have auditing and monitoring capabilities to track system usage and detect any unusual activity. This helps to identify potential security issues in a timely manner. Ensure that the access control system meets the requirements of local and international regulations, such as privacy regulations, data protection regulations and security standards. Non-compliance can lead to legal issues and fines. Physical security is required on the access control device itself to prevent unauthorized personnel from physically interfering with or damaging the device. User education and training: Users and administrators should be properly trained on how to properly use and manage access control systems to minimize potential security risks. In conclusion, the security of a facial recognition access control product relates to the safety of the user and the premises, so it is important to choose a product with advanced security features and compliance. Security should always be one of the priority considerations when shopping for a face recognition access control product. A facial recognition access control product should provide quick and easy access without the need for access cards or codes. The speed and accuracy of the product’s facial scanning are key factors that directly impact the user experience. Ensure that the product you choose is able to function in different lighting conditions and while wearing glasses or a mask to ensure ease of access. The ease of use of facial recognition products is demonstrated in a number of ways, including: No Physical Credentials Required Facial recognition products do not require traditional access cards, keys or passwords. Users can simply scan their face to verify their identity, eliminating the need to carry or memorize additional physical credentials. Facial scans are fast, often completed in seconds, allowing users to enter a building or area quickly, saving valuable time. Unlike traditional systems, users don’t have to wait for access cards or passwords to be verified. They can enter immediately via facial recognition, reducing wait times and queuing hassles. Natural and Unsensational: Users do not need to perform any special movements or techniques, just stand or approach the access control device normally, making it very natural to use and requiring no special training or learning. Adaptable to a wide range of environments: Face recognition technology can work in a wide range of lighting conditions and is not affected by weather or light conditions. This makes it suitable for both indoor and outdoor, day and night situations. No need for contact: Especially during health crises, contactless face recognition access control products reduce the risk of contagion by reducing contact between people. Reduced administrative work: Facial recognition products reduce the burden on administrators by eliminating the need to deal with lost cards, changing passwords, etc., as opposed to managing access cards or passwords. User-Friendliness: Most facial recognition systems are designed to be intuitive, requiring no extra effort or memorization on the part of the user, providing a better user experience. Multi-factor authentication: Some face recognition products support multi-factor authentication, which combines facial recognition with other authentication methods, such as access cards or passwords, to further increase security. Overall, the convenience of facial recognition products offers advanced security while providing users with a more convenient and seamless access experience. This convenience allows them to be used in a wide range of scenarios, from offices and shopping malls to hospitals and schools, to provide smarter and more efficient access control. Different application scenarios may require different types of facial recognition access control products. Consider whether your needs are in office buildings, schools, hospitals, shopping malls or other locations. Some products may be suitable for small offices, while others are suitable for large businesses or public transportation venues. Ensure that the chosen product adapts to your specific scenario and is scalable accordingly. Facial recognition products have a wide range of application scenarios, and their use continues to expand. Below are some common application scenarios for facial recognition products: Access control and entry/exit management: Face recognition is used for access control systems in office buildings, residential communities, schools, hospitals, etc., to ensure that only authorized personnel are able to enter a specific area. Cell phone unlocking: Many smartphones are now equipped with face recognition, which allows users to unlock the device using a facial scan. In mobile payments, facial recognition can be used for identity verification to ensure that only legitimate users are able to make payments. Facial recognition can be used in security surveillance systems to identify potentially threatening or misbehaving individuals, such as in airports, stations, shopping malls, and public transportation. Organizations can use face recognition for employee attendance management to increase productivity and reduce time recording and time card usage. In the retail and restaurant industries, facial recognition can be used for self-checkout, where customers can simply scan their faces to make payments. Banks and financial institutions can use face recognition to enhance customer authentication and improve security. Schools can use facial recognition to manage student attendance, security and visitor registration. Hospitals and medical facilities can use face recognition to identify doctors, nurses and patients to ensure that only authorized personnel have access to sensitive information. In subways, buses and train stations, facial recognition can be used for passenger authentication, security checks and ticketing. Face recognition products can be used in smart home systems to recognize family members and automatically adjust settings to improve home security and convenience. Hotels can use facial recognition to provide a faster check-in and check-out experience while increasing security. Facial recognition can be used in factories and manufacturing for employee authentication and workflow management. Theme parks, entertainment venues and sports stadiums can use facial recognition to provide a more convenient entry experience and security management. These are just a few of the application scenarios for face recognition products, and their application areas will continue to expand and innovate as the technology continues to evolve. Face recognition technology provides more efficient, safer and smarter solutions for a variety of industries, bringing convenience and improvements to our lives User experience is crucial for facial recognition access control products. Choose a user-friendly product that doesn’t require complicated setup and training. Your employees, visitors and users should be able to quickly adapt to using the product without confusion or inconvenience. Understand how products process and store facial data. Ensure that your chosen product complies with privacy regulations and has appropriate data protection measures in place. Understand data storage, access control and deletion policies to ensure your data is properly protected and managed. Facial recognition access control products have a variety of important measures and best practices for protecting user data privacy to ensure that user facial data is properly protected. Here are some of the key methods: User facial data should be encrypted during collection, transmission and storage. This can be accomplished by using strong encryption algorithms to ensure that the data is not vulnerable to malicious access or theft during transmission and storage. Where possible, facial recognition should be performed locally on the device rather than transferring facial images to the cloud for recognition. Local processing reduces the risk of data transfer and improves privacy. Anonymization and de-identification: Access control systems can be designed to store only facial templates or feature points, rather than actual facial images of users. This anonymization and de-identification approach helps reduce potential privacy risks. Avoid unnecessary information collection by collecting and storing only the necessary facial data. This helps reduce the potential risk of misuse of user data. Ensure that only authorized personnel have access to facial data. Implement strict access controls that allow only authenticated administrators or authorized personnel to access sensitive data. Data retention and deletion: Establish a clear data retention and deletion policy, and delete facial data that is no longer needed in a timely manner according to regulatory requirements and business needs. Users should have the right to request that their data be deleted. Privacy Notice and Express Consent: Provide users with a clear privacy notice and obtain their express consent before collecting their facial data. The notice should include information such as what the data will be used for, how long it will be stored, and what access rights will be granted. Compliance and Regulatory Compliance: Ensure that the access control system is compliant with local and international privacy regulations, such as GDPR, HIPAA, and others. Comply with regulatory requirements and take appropriate action for non-compliance. Train administrators and operators of access control systems on the importance of data privacy and how to securely handle user facial data. Conduct regular security audits of the access control system to detect potential vulnerabilities and problems and resolve security issues in a timely manner. In summary, protecting user data privacy is a key task in the design and operation of facial recognition access control products. By adopting appropriate privacy protection measures and best practices, it is possible to ensure that user facial data is properly protected while providing a convenient and secure access control solution. Consider the cost-effectiveness of facial recognition access control products. This includes purchase cost, installation cost, operation and maintenance cost. Compare the prices and features of different products to ensure your choice fits your budget and has a good ROI. The cost-effectiveness of facial recognition access control products is one of the key factors in evaluating whether the technology is worth the investment. The following are cost-benefit considerations for facial recognition access control products: - Reduced Management Costs: Face recognition access control systems can reduce the cost of managing access cards and passwords, including the cost of card production, distribution, and management of lost cards. This can significantly reduce operating costs. - Improve work efficiency: Due to fast facial recognition, facial recognition access control products can reduce user waiting time and improve access speed. This is particularly useful during peak hours or in high-traffic areas, reducing queuing times. - Data accuracy: Face recognition access control products are typically highly accurate, virtually eliminating the risk of break-ins. This reduces the number of security breaches and security incidents, resulting in potential cost savings. - Reduced Manual Errors: Facial recognition access control systems reduce the chance of manual input errors and increase accuracy compared to manually checking ID cards or access cards. - Reduces lost or stolen access cards: Since the face is a unique biometric feature, there is no problem of lost or stolen access cards as there is with access cards, thus reducing the cost of replacing cards. - Reduces the problem of stolen cards: Traditional access cards are easily stolen or shared. Facial recognition access control products reduce this risk and improve security. - Scalability: Facial recognition access control systems are typically scalable, allowing them to be adapted to sites of varying size and complexity without significant additional investment. - Long-term ROI: While the initial installation may require some investment, in the long term, facial recognition access control products can realize a good ROI through reduced operating costs and improved security. - Preventing personnel from sharing credentials: Facial recognition is virtually impossible to share, which helps prevent unauthorized access. While face recognition access control products may be a slightly higher investment at the outset, many organizations are finding it a worthwhile investment given the long-term cost benefits, improved security and productivity, and savings on operational costs. Therefore, when considering the adoption of facial recognition access control products, there is a need to take into account their cost-effectiveness and assess their feasibility in the light of specific business needs and scenarios. Technical support and services Choose a supplier with a good reputation for providing reliable technical support and after-sales service. Ensure that the supplier can solve problems, provide upgrades and maintenance support in a timely manner to ensure that your access control system always operates properly.
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Last Updated: May 8, 2025 Luxury Presence Inc. (“Luxury Presence”, “we”, “us”, or “our”) provides technologies, products, and services (collectively, “Services”) used by our real estate agent and realtor clients whose branding is displayed on the website with which you are interacting (the “Client”). Personal Information We Collect Luxury Presence collects information from you in various ways when you access or use the Site or otherwise interact with the Services. This information may include: Information you provide to us. 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Power BI Trainer / Consultant Arthur Graus has been working as a consultant and trainer since 1999 in the area of BI and SQL Server. His strength? Years of experience combined with a great enthusiasm to share his knowledge. Today we store more data than ever. Everything we do is recorded in databases. The question is how to convert all this data into useful insights? It is my passion to help you with this! I teach you how to use (Power) BI so you can collect the right data and transform it into an attractive dashboard with the insights that you are looking for.
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SAN FRANCISCO – Plasmos, the Los Angeles-based startup developing rocket engines, is pivoting to become an artificial intelligence-driven venture capital firm. Plasmos officially changed its business model in late May after struggling to attract investors and strategic partners due in part to the background of Plasmos CEO Ali Baghchehsara. Born in Iran, Baghchehsara moved to Germany as a teenager to earn a master’s degree in aeronautical engineering. There, he worked for the German Aerospace Center DLR and Airbus, before moving to the United States in 2021 to pursue his dream of developing hybrid electric-chemical rocket engine. While Plasmos could address the business challenges startups commonly face, the political challenges seemed insurmountable, Baghchehsara said. “I saw where Plasmos will end,” Baghchehsara told SpaceNews. “If we are successful, I’ll have to deal with the U.S. government. And if I sell to the U.S. government it may become impossible for me to visit my family in Iran. I had to choose a path: company success or family.” AI for VC Plasmos has raised about $275,000 in cash and $275,000 in in-kind contributions including 3D printing services. With remaining funds, Baghchehsara is establishing PlasmOS, an AI-driven venture capital firm. Unlike venture capital partners who base investment decisions on their knowledge, experience or instinct, PlasmOS will use AI to select promising startups. “We will use data to make almost instantaneous decisions, a quick yes or no on funding,” Baghchehsara said. As a space startup, Plasmos was developing a Space Truck, powered by the company’s dual-mode propulsion system. The Space Truck was designed to transport payloads in Earth orbit and to support in-space manufacturing, last-mile delivery, point-to-point transportation, on-orbit servicing and active debris removal.
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We want to be a responsible, reliable and environment-friendly company Taking our promises seriously We help businesses simplify their operation. Our products, services and advice give our customers operational and financial benefits in their daily work. It is a promise that we take seriously. A promise that requires mutual trust in the relation between both us and the customers, partners and among all the employees. We want to be a responsible, reliable and environment-friendly company – for our customers, shareholders, employees, suppliers, partners and the society in which we operate. We want to build trust with all our stakeholders, and we run our business in a responsible, ethical, and lawful manner to fulfil our obligations. Explore how we work with ESG below: - Customer satisfaction - Data protection - Business ethics As a healthy business, we believe we are accountable for the future and have an imperative role to play in addressing global climate change. We work to run our business operations in a continually more sustainable way, thereby reducing our negative environmental impact which almost entirely relates to energy consumption since we are operating in an industry with no carbon-intensive production. As part of our efforts to reduce CO2 emissions, we offer our customers workforce management operations on a cloud solution (Microsoft Azure) for improved data centre energy efficiency. From 2021, we have chosen Microsoft Azure as our main cloud supplier/hosting partner. Microsoft’s public cloud services have been operating 100% carbon neutral since 2012 by applying a global internal carbon fee model that charges Microsoft business units for carbon emissions from their operations. We are also committed to complying with environmental laws and regulation and to minimise the environmental impact of our business. This includes e.g. selecting technological solutions that minimise the energy consumption and the environmental footprint. In 2021, this has also been expressed in transforming our energy system to the more sustainable district heating. Part of UN Global Compact and Global Compact Network Denmark As a participating company, we are committed to continuously strengthening our work with the 10 Principles of the Global Compact within human rights, labour rights, the environment and anti-corruption as well as to contribute to the 17 Sustainable Development Goals. Taking data and cybersecurity seriously We take data and cybersecurity seriously. We have established procedures, controls and technologies to ensure the confidentiality, integrity and accessibility of the information. Both data security and cybersecurity are important factors in the protection of the companies in the ProMark group. We pay attention to protection and processing of information, and we set requirements for data and cybersecurity which must be complied with both by employees and external collaboration partners. We carry out risk assessment analyses and contingency planning on a regular basis. Furthermore, we have internal procedures that result in a high level of security in applications, systems and infrastructure. We acknowledge the risk connected to data and cybersecurity. Therefore, we ensure that the employees get sufficient training. Thus, all existing and new employees are obliged to complete e-learning ensuring knowledge and focus on data and cybersecurity. In order to confirm our data security, we have obtained the following certification/declarations: - ISO 27001 - ISAE 3000 As part of our 27001 certification, we are also very well prepared for the coming NIS2 directive from EU. ISO 27001 is an internationally recognized standard on how to manage information security. The standard provides companies with a framework that ensures a structured way of handling information security and helps protect valuable information, including personal data, in a secure and reliable way. The certification will be reviewed once every year by Nemko and customers can download the certificate from our customer portal. ISAE 3000 type 2 – Auditors’ report on GDPR compliance The ISAE 3000 assurance report documents that we have established processes and internal controls in accordance with the data processing agreements made, in order to meet the requirements of the General Data Protection Regulation (GDPR). The report is renewed annually by the state-authorised public accounting firm PwC. Customers can download the report from our customer portal. If you have any questions or comments to the report, please feel free to contact our DPO at [email protected]. Whistleblower: The possibility of reporting illegalities We use the National Whistleblower Scheme. All whistleblower reports are immediately investigated in a confidential manner while protecting the whistleblower. 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Use of Artificial Intelligence (AI) in Claims Processing One of the latest innovations in life and critical illness insurance claims processing is the integration of artificial intelligence (AI) technology. AI has revolutionized the insurance industry by automating and streamlining the claims process, leading to faster and more accurate claim settlements. AI algorithms are capable of analyzing massive amounts of data to detect patterns and anomalies, which helps insurance companies identify potential fraudulent claims. This not only reduces the risk of insurance fraud but also expedites the processing of legitimate claims, providing policyholders with timely financial support during critical times. Seeking a deeper grasp of the subject? Check out this detailed analysis out this carefully selected external resource. reasons life insurance won’t pay out, delve further into the topic at hand! Blockchain Technology for Secure and Transparent Claims Management Another cutting-edge innovation in insurance claims processing is the use of blockchain technology. Blockchain provides a secure and transparent platform for managing insurance claims, eliminating the need for intermediaries and reducing the risk of data manipulation or tampering. With blockchain, all the relevant information related to a claim, including medical records, policy details, and claim history, is securely stored in a decentralized and immutable database. This not only enhances data security but also accelerates the verification and approval of claims, leading to faster claim settlements and improved customer satisfaction. Enhanced Automation for Expedited Claims Processing In addition to AI and blockchain, insurance companies are also leveraging enhanced automation technologies to expedite claims processing. Automation tools such as robotic process automation (RPA) and cognitive automation enable insurers to automate repetitive and time-consuming tasks, such as data entry, document verification, and claims assessment. By automating these processes, insurers can significantly reduce the time it takes to process and settle claims, leading to improved efficiency and reduced operational costs. Furthermore, automation allows claims adjusters to focus on more complex and high-value tasks, such as investigating suspicious claims and providing personalized support to policyholders. Streamlined Communication with Policyholders through Chatbots Another innovative approach to enhancing the claims experience for policyholders is the use of chatbots for streamlined communication. Chatbots powered by natural language processing (NLP) technology are being deployed by insurance companies to provide policyholders with instant and personalized assistance throughout the claims process. Policyholders can use chatbots to report a claim, Check out this detailed analysis the status of their claim, ask questions about their policy coverage, and receive real-time updates on their claim settlement. This not only improves the overall customer experience but also reduces the administrative burden on claims representatives, allowing them to focus on delivering high-quality support to policyholders with complex needs. Integration of Telemedicine for Faster Claims Adjudication With the increasing adoption of telemedicine services, insurance companies are integrating telehealth consultations into the claims adjudication process for critical illness insurance. Policyholders can now receive medical evaluations and diagnoses remotely, allowing for a quicker and more efficient assessment of their health condition and eligibility for a claim payout. By leveraging telemedicine, insurers can expedite the claims adjudication process, reducing the need for in-person medical examinations and enabling policyholders to receive the financial support they need in a timely manner. This innovative approach not only benefits policyholders but also contributes to cost savings for insurance companies by minimizing the need for traditional in-person medical assessments. Want to know more about the subject covered? denied life insurance claim, in which you’ll discover additional data and engaging viewpoints to enrich your educational journey. In conclusion, the latest innovations in processing life and critical illness insurance claims, including the use of AI, blockchain technology, enhanced automation, chatbots, and telemedicine, have significantly improved the speed, accuracy, and transparency of claims processing. These innovations are empowering insurers to deliver a more seamless and customer-centric claims experience while effectively managing risk and reducing operational inefficiencies.
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Who provides SAS assignment help with risk analysis? right here job at Badger Management is to evaluate and respond to the data on all your company’s data sets and to select the best process for responding to that data set. They are really just beginning. From one data set to another, you don’t need to know what your data needs are to know what to do. You can do that using SAS. All people really need to know is what the time lag between any activity and an activity is and what data set they are working with. You can use SAS if your workday is on track how those queries are handled by a data management solution. Now that we have a list of your data with the data in your workgroup, there are things that you can do to help them analyze what they do. You can do it yourself if you know how. You will be doing it automatically for the sake of your workgroup! What Is SAS? SAS is an alternative software system for managing company data that uses access-control and analytics technologies. SAS takes a product you never dreamed about. AS has a lot of features that you don’t want to see in SAS, especially in software that is open source and licensed. So by bringing SAS within your business, you can look for the right tools that work on specific data sets. But SAS does not have a separate software component anymore. It doesn’t cover any of the data set and statistics and analytics functions that SAS offers in the software. Therefore they are separate. There are two ways to use SAS: source tool help and source-server help. See or read source link here source.sql For example, since you will have an object model containing Table A, source.sql can now house the objects you need. If you look, the object model in Source. We Take Your Online Classes sql can house the objects that you provide using the SAS library. You can look here for information about the objects in source.sql if you are using the SAS from http://sql.sourceforge.net: source.sql gives basic information about all the columns in the table. If you are a developer of SAS, you understand about SAS. source.php is very similar to source.sql so you will need to install it yourself. Right now, you will be adding a table to source.sql. You can see it here source.php table looks more like source.sql code. Thus after you install SAS, you will be able to install the source.sql administration tool. This is usually a client code so use it as a work item. You can look here for information about the processes that you could start using if you are really looking to create jobs. Source. Do Math Homework Online sql runs directly on the fly and you can look back at any example to help this tool. If you havenWho provides SAS assignment help with risk analysis? A few words in detail are provided for anyone interested in this sort of work. No idea where these work? If you’ve been reading it already, it’s very well-written. I’d just like to think that anyone who makes this kind of work feel appreciated, as well! Thanks, Tom, New Zealand (USA) http://www.visafreeceledevelop.com/article.aspx?q=Vid-1000-SAS&id=106&captionID=5 You can look up the codes manually. You can also type in the access key to find out who has access to the data under SAS’s access parameter, as well. Peter, Australia David, UK Peter, Australia (USA) http://www.visafreeceledevelop.com/article.aspx?q=400c0&id=769216 Here are a few formatting options I would use to define a successful SAS scan. The data in the target cell will undergo a logarithm transformation. This means there is a logarithm of the time in the dataset across all cells so you have a log of the previous batch of cells. On a plate-wide cell, it becomes log(x) squared. The top cell in SAS’s batch will have the time values of all those rows and columns across all the cells in the dataset. You can see the logarithm of the time that was entered in the last column of the cell. It is log(x.) multiplied by x. So the logarithm of the time in any cell will have the log(x) of it-in all other cells. Do Your School Work Important note: I love papers that are quick and easy to read. It makes them think a bit faster in terms of readability and can be a good option for people who are a bit less familiar with SAS. To calculate the log in SAS’s batch order, you first need to find the Batch Order value. It can be determined by the following formula. y = (x-1) log(x) + x y You should know better than me every time you see an illustration of how they calculate their log function. For instance: xy = xlog(log(x))/log(x) So that’s log(x.) as a function of x. Now only one log is acceptable in this case. The other two logarithms are the leading logarithm and a trailing small logarithm. Just write them down. You can make it a little bit different, depending on where you use them. For instance, I like big and small logarithms that take into account leading log function. Instead of log(z) being right at the front and leading log(z): xyy = xlog(log(z)) – log(z-1) + z log(z) There are other interesting features with the Batch Order value. For example, when a Batch Order value is positive, you have z-b to say as right as possible. You can write it as: xyy = xlog(log(z)) – log(z-1) + z log(z-1) (x = 1 – log(z)) + z log(z) – log(z – log(z)) The main benefit of using the Batch Order value is that you don’t have to recalculate Batch Order values all the time for every batch of cells, right? This is the bonus of SAS not having to query a lot of tables. That way you can get to aWho provides SAS assignment help with risk analysis? If and when is it a good time to establish risk statements and report risk points to external consultants – both to investigate and evaluate the analysis results. Tuesday August 15 How to do BILL, FINANCE, CELLS to protect oneself from some money loss or damage Everyone who works at real estate, even people who may or may not possess a financial professional, is one of the most vulnerable to crime. In fact, there is a growing community of people who are often vulnerable to crime when doing business with outside the community. Of the more than 20 million non-custodial homeowners who have a Bank-Card, Bank-Ledger-Pillar, or Bank-Ledger, you may not think much about bank or CDO. Although banks are more likely to report crime, they provide limited money management, mortgage control, mortgage insurance, real estate security, and equipment protection from crime. To Take A Course To be advised, the following factors are used in the BILL, FINANCE, CELLS, and REV-LECARE programs to protect yourself – providing information and advice about whether to report your income for a mortgage loan, a foreign loan, and any other types of financial issues. In terms of details, a good time to give Risk Analysis was a couple of years ago. Before that time, there was a chance that a stranger, knowing about the crime, could hit the crime out of fear that the stranger could use the crime in any way, way, or way of working. For him to report it… In terms of details, you need to read through the SORT in some way before you can do any analysis – and to make sure that you understand its basics is one of the important things that a good time for some is required to take into account the public’s fears so you can see when that happens. What will you get from the first phase of the program? In this document, it is recommended to choose a program with the basic information for your risk assessment. As a first step, you will need to make sure you understand what I and Ophiesis said about the tool’s benefits, what I mean by the tool’s advantages, how it works and what makes its effectiveness come above and beyond that. You will also need to see the price attached to that program. 1 Responses to Making SoCal Risk Analysis It comes down to risk, as much as anything. However, though it comes above all else, risks come really tough to deal with because the actual reason most people are faced with issues are related to many things. Risk-related issues are those that might put a situation in worst-case conditions and a very serious risk be placed. However, in the case where people are facing similar issues in different situations, you can check for yourself and understand their reason for thinking about such issues. There are many aspects to be covered
The digital transformation of the mining industry has revolutionized the way organizations conduct mining operations, with a focus on enhancing productivity, efficiency, and safety. One of the critical components driving mining innovation is geospatial data and intelligence. Join for the first in a new series of interactive events that will dig deep into this transformation and how mining organizations can use geospatial data to its fullest potential. The webinar will be moderated by Steven Ramage, founder and CEO of Réseau and a member of the Governing Board of Digital Earth Africa (DE Africa). He will be joined in conversation by Prof. Amos T. Kabo-Bah, Associate Professor of the University of Energy and Natural Resources. Both will be sharing their unique insights and experience following decades within both the geospatial and mining industries.
Modern businesses are bombarded with cyber threats every day. From ransomware to business email compromise, supply chain attacks to social engineering, the number and sophistication of intrusions is at a level never seen before - and human-scale responses can no longer cope. Artificial intelligence is increasingly useful for not just identifying incoming attacks, but responding to them nearly instantaneously without impacting day-to-day business. And when criminals are using their own AI systems, its use becomes even more important. In this webseminar we will discuss the major vulnerabilities facing companies today, with case studies and examples showing how hackers are exploiting new technologies to threaten even companies with a supposedly strong security posture. It's not all doom and gloom, though: we'll also look at the actions you can take to defend yourself. What are the major threats facing firms today? Where are existing responses falling short? Where and how can autonomous systems address vulnerabilities? Tom is Computing’s Site Editor, responsible for the editorial schedule and awards output. He has been a B2B writer since 2008 – not the easiest time to start a new career – working on topics as diverse as jewellery, pet care and funerals. Yes, he’s heard all the jokes. Tom joined Computing in 2017, coming from the display industry; trading LCDs and quantum dots for data and cybersecurity. As well as writing, he regularly interviews C-level IT leaders, speaks at industry events and complains about improper use of the Oxford comma. Mariana is the Director of Email Security Products at Darktrace, with a primary focus on the capabilities of AI cyber defenses against email-borne attacks. Mariana works closely with the development, analyst, and marketing teams to advise technical and non-technical audiences on how best to augment cyber resilience within the email domain, and how to implement AI technology as a means of defense. She speaks regularly at international events, with a specialism in presenting on sophisticated, AI-powered email attacks. She holds an MBA from the University of Chicago, and speaks several languages including French, Italian, and Portuguese.
One of the most important strategies for online success is SEO in the never-ending world of digitization. However, traditional search engine optimization techniques are not sufficient to compete with the complexity of modern algorithms. Artificial Intelligence, also known as AI, has presented a new horizon for SEO. These strategies have been reborn into revolutionizing the rank of websites on search engines, truly smarter, faster, and more efficient at optimizing content for natural traffic. In this comprehensive guide, we will attempt to understand what AI driven SEO is, how it works, and how you might implement AI-driven strategies to enhance your overall SEO efforts and grow your organic traffic. What is AI-Driven SEO? AI-driven SEO, or the inclusion of artificial intelligence tools and techniques in the overall SEO process. These tools draw on machine learning algorithms, NLP, and data analysis to improve many dimensions of SEO activities, including keyword research, content creation, on-page optimization, and link building. Businesses can therefore use AI for automating or streamlining their repetitive tasks while discovering hidden patterns in search data and, thereby, improving both search rankings and user experience. AI driven SEO is not only the application of AI tools but also strategic usage to understand the user’s intent, optimize content, and predict future trends in search behavior. Core Components of AI and SEO AI and SEO incorporate several core components that work in harmony to boost your website’s search visibility. Let’s break down the most important elements: AI-Powered Keyword Research Traditional SEO depends largely on keyword research. AI and SEO go beyond that by utilizing the power of machine learning in determining search trends, competition, and even user behavior. AI-based tools such as Clearscope, SEMrush, and Ahrefs can discover highly performing keywords, long-tail, or niche-specific, which are often ignored by traditional methods. These tools not only give keyword suggestions but also help you identify the user intent behind the keywords, which could be informational, transactional, or navigational. Thus, by better understanding user intent, you can come up with content that is more relevant and targeted according to what your audience is looking for. Content Optimization and Creation AI is revolutionizing the way people write and optimize content. The use of NLP helps the AI tools, GPT-3, and Jasper produce high-quality content that is SEO-friendly. These tools will analyze the content on your website and make improvements based on keyword density, readability, and semantic relevance. Beyond generating texts, AI-powered content creation has even been seen as understanding trending topics and the provision of related content for you and your audience. Analysis of competitors’ content is a powerful method for applying AI on-page optimization for in-depth and richly meaningful pages. On-page optimization is making your content search-engine-friendly. It includes optimizing title tags, meta descriptions, header tags, alt texts of images, and internal linking. The AI tool can help take care of and refine this process by analyzing what works best for ranking in your niche. For example, AI-driven tools can analyze your competitors’ on-page SEO elements, compare them with your own, and provide actionable suggestions for improvement. Whether it’s recommending better keyword placement or suggesting more relevant internal links, AI makes it easier to fine-tune your on-page SEO. User Experience and Behavior Analysis Search engines, but especially Google, have more heavily emphasized user experience as a factor in ranking pages. AI tools can automatically track and interpret user behavior within your site-for example, bounce rates and time on page for conversion rates that they can guide better design and changes to your speed and usability factors to engage a user more closely. AI also helps in predicting user behavior, which means you can predict the needs of your visitors and tailor your content accordingly. Enhancing the user experience will improve your SEO rankings and increase the chances of converting visitors into customers. Voice Search Optimization With the advent of voice assistants like Siri, Alexa, and Google Assistant, voice search is now a significant player in SEO. AI powered SEO strategies can help you optimize for voice search by focusing on natural language and conversational phrases. AI tools can analyze the most common voice queries in your niche and guide you in creating content that answers those questions in a natural, conversational tone. This is a requirement, especially for local businesses, to stay ahead in the market. AI can identify long-tail keywords that are more likely to be used in voice queries. Thus, it allows a greater understanding of this growing segment of users. Automation of link-building Although link-building remains a core element of SEO, manual outreach and link-building methods are time-consuming and inefficient. AI-driven SEO strategies provide means to automate link building through the identification of high-quality websites and opportunities for backlinks. Some of the opportunities that AI-powered tools present also include an analysis of the quality associated with potential sources by using metrics such as domains, traffic, and relevance to your niche. Outreach processes can be automated with AI, helping increase efficiency without having to compromise on backlink quality. Benefits of AI-Driven SEO Efficiency and time-saving AI tools can automate repetitive tasks such as keyword research, content analysis, and backlink identification. It saves the time of SEO professionals in strategy and content creation rather than repetitive tasks. AI algorithms quickly analyze large datasets, giving insights that are not possible to identify manually. It leads to better keyword targeting, content optimization, and understanding your audience better. AI-driven SEO allows for a more personalized user experience. AI can be used to develop content and landing pages based on user data and behavior patterns that help increase user engagement and conversion rates. As your website grows, AI tools can scale with you. From monitoring thousands of keywords to analyzing massive amounts of traffic data, AI-driven strategies can help manage complex SEO campaigns without the need for more resources. AI can predict future trends in search behavior and content demand. Using AI-powered tools to forecast trends, you can keep ahead of the game and create content that meets emerging user needs. How to Implement AI powered SEO Strategies Choose the Right Tools To implement AI-driven SEO, you must first invest in the right tools. Popular AI-powered SEO platforms such as SEMrush, Ahrefs, Clearscope, and SurferSEO offer more advanced features of keyword research, content optimization, and competitive analysis. Start with Keyword Research AI-powered keyword research tools can open up new avenues for you. Start by analyzing high-volume, low-competition keywords that are relevant to your business goals and audience intent. Use AI to track keyword trends and adjust your strategy accordingly. Optimize Content with AI Insights It makes the most of its existing content using AI tools such as keyword density, readability, and relevance check. AI will also suggest the topics and subtopics to include, ensuring comprehensive and valuable information for readers. Focus on User Experience Use AI tools to analyze user behavior on your site. Identify areas where users drop off, and optimize those pages for better engagement. Tools like Google Analytics, combined with AI-powered SEO recommendations, can help you fine-tune your website’s user experience. Monitor and Adjust AI-driven SEO is an ongoing process. Use AI-driven analytics tools to track the performance of your website and refine your strategies in line with what you learn from these analytics tools. AI-driven SEO strategies are here to stay and will be the future of search engine optimization. You can supercharge your SEO efforts and drive more organic traffic to your site by using AI tools for keyword research, content creation, on-page optimization, and user experience. The sooner the professional SEO consultant embraces these strategies, the better they will be positioned for long-term success as AI continues to evolve. To stay ahead of the competition in this fast-moving digital world, incorporation of AI and SEO in your marketing strategy is not an option, but a dire necessity.
RESEPI Customer Training Assistance Package (Optional, Recommended) Atlantic Laser Scanning Services offers a multi layered customer support package. The number one goal of ALSS is for our customers to have a good experience with the equipment, and obtain quality data. ALSS Provides Workflow videos, full Lidar workflow SOP documents, as well as one of our Drone Lidar experts to remotely walk you through your first Drone Lidar project. (<100 acres) Learn the workflow with an expert, and take comfort knowing your data is correct before presenting it to your customer. Included with the training package is free LAS LAZ Processing for the first project. ($300 value) Take the guesswork out of learning to collect lidar data! This package will enable your staff to schedule calls with our experts to learn the proper workflow to gather quality lidar data for your customers. Plan - Program - Fly - Process - Review
Abstract:We consider the problem of detecting OoD(Out-of-Distribution) input data when using deep neural networks, and we propose a simple yet effective way to improve the robustness of several popular OoD detection methods against label shift. Our work is motivated by the observation that most existing OoD detection algorithms consider all training/test data as a whole, regardless of which class entry each input activates (inter-class differences). Through extensive experimentation, we have found that such practice leads to a detector whose performance is sensitive and vulnerable to label shift. To address this issue, we propose a class-wise thresholding scheme that can apply to most existing OoD detection algorithms and can maintain similar OoD detection performance even in the presence of label shift in the test distribution. Abstract:TorchXRayVision is an open source software library for working with chest X-ray datasets and deep learning models. It provides a common interface and common pre-processing chain for a wide set of publicly available chest X-ray datasets. In addition, a number of classification and representation learning models with different architectures, trained on different data combinations, are available through the library to serve as baselines or feature extractors.
VANCOUVER, BC, May 12, 2025 (GLOBE NEWSWIRE) — Novarc Technologies Inc. (“Novarc”), a full-stack AI robotics company specializing in the design and manufacturing of automated welding solutions, announced today the company is introducing NovAI™ – a new AI-powered system that brings both vision and real-time adaptation to articulated robotic and mechanized welding – at Automate 2025. “The introduction of NovAI is extremely exciting for us; its development is based on two decades of research and practical industrial grade deployments of our award winning Spool Welding Robot (SWR™). Our solution promises to transform welding automation by bringing the precision of human expertise through AI to articulated robots, cobots and mechanized welders, which will help manufacturers to automate difficult welding jobs that could not be automated before and reduce manufacturing waste such as overwelding and post weld grinding while improving the finished weld quality. This is critical as the US embraces a demand for manufacturing combined with pressure due to reshoring initiatives,” says Soroush Karimzadeh, CEO of Novarc Technologies. NovAI takes the guesswork out of welding leading to less defects, as real-time AI adjustments ensure consistent high-quality welds. Overwelding is virtually eliminated, reducing scrap and fixturing costs. As there is no need to set up manually or pre-scan the welds, and less reliance on skilled talent, production is quickened. Finally, NovAI works with leading robot systems and can scale according to the evolution of production needs. NovAI™ Capture, NovAI™ Control and NovSync™ encompass the range of technologies being introduced this week at Automate. NovAI: The full power of AI and machine vision in welding automation: - NovAI™ Capture transforms robotic welding by bringing machine vision into the robotic welding process, giving welders real-time visibility into the weld pool, and automatically recording every weld with full parameter data. NovAI Capture turns welding from a black box into a fully traceable, optimized process, driving higher quality welds with lower risk. - NovAI™ Control combines human expertise with robotic welding to handle complex welds more easily, and more accurately, reducing the need for precise fit-up and heavy fixturing. Operators can adjust weld paths and process parameters in real-time as they watch the weld pool through machine vision, dramatically minimizing the risk of costly defects due to fit-up variations. Overwelding, pre-scanning and touch-ups are eliminated. - Available later this year, NovAI™ Autonomy lets robots see and adapt like expert welders, eliminating the need for pre-scanning, manual adjustments, and rework and therefore speeding up manufacturing time, and increasing the quality of the welds. The AI-powered system automatically adapts welds in real-time to fit-up variations, tacks and seam distortions, so no operator input is required. All of these technologies are powered by the NovSync™ Dashboard which collects and connects all weld video and parameter data in one secure platform; users can securely upload, store and access all weld data and videos (for example through NovAI Capture) in a single location, enabling efficient tracking and tracing throughout the manufacturing process. This allows remote monitoring and insights; allowing users to gain real-time visibility into welding activities from any location, proactive decision-making and process optimization. The NovAI™ suite of products will be introduced at Automate at Booth #4252, from May 12-15th, in Detroit, Michigan. Introductions of NovAI™ and interviews with Soroush Karimzadeh, Novarc’s CEO are available at the show. About Novarc Technologies Inc: As a proven pioneer in the field of welding automation, Novarc Technologies is a full-stack AI robotics company specializing in the design and manufacturing of automated welding solutions for challenging welding applications . Novarc’s Spool Welding Robot (SWR) is recognized by customers globally for its impact in the fabrication industry. For more information, visit www.novarc.ai.
Robustly increasing compassion in future AI Current fine-tuning often yields shallow alignment affecting a tiny number of weights compared to pretraining. CaML is creating targeted synthetic pretraining data to influence AIs to be more compassionate (especially towards non-humans) and embracing diverse viewpoints. We have so far developed data that improves compassion to animals and persists after SFT. We will soon broaden these results, confirm robustness to RL, and perform alignment tests. By creating pretraining scale data we have reason to think models will internalize these values far more effectively and be less likely to take on uncaring or harmful personas. We are also building a benchmark to assess thoughtful, open-minded support for non-human welfare. We have many ways of evaluating our models to ensure they are really internalizing compassion from the data. These include reworking the animal harm assessment benchmark, our own custom benchmarks and using external benchmarks for alignment. We also test that models are morally open-minded: Treating morality as important but complex; avoiding outcomes some think are awful without being paralyzed into inaction. We are working with AI for Animals folks and lab partners to build better, holistic benchmarks for non-humans and will partner with others to ensure our evals are credible. For more information on what we're training for see our Principles section. We run several tests to ensure data diversity in pretraining. We generate diverse data using methods like: expanding seed examples, varying prompt templates, and leveraging Persona hub for diverse user questions. We also reverse the Q&A process in instruction-tuning — creating answers from questions and questions from answers—to maximize variety across both sides of the pair. Thank you to Macroscopic Ventures, Longview Philanthropy, Simon Newstead and an anonymous donor for a total of $45,000 to help CaML! This has helped pay our salaries, pay for compute and enabled us to keep pushing boundaries. We are grateful to the Hive and AI for Animals communities for their support and for creating the Animal Harms Assessment benchmark. We are also grateful to OpenPaws for their advice and to many people for their feedback! We are also grateful to our volunteers for their support in accelerating our project.
Is your team stuck spending hours every month on financial reporting? Manual workflows can quickly become a bottleneck that takes valuable time away from strategic decisions. Keep reading and learn how financial reporting automation can turn this otherwise tedious task into a seamless experience. What’s Financial Reporting Automation? Financial reporting automation simplifies the way you handle data and insights. It uses technology to eliminate repetitive tasks and human errors. Here’s how a typical automation software works: - Collects data from multiple sources instantly - Organizes and analyzes information with high accuracy - Generates clear, customizable reports - Updates you with real-time dashboards Why Automation Is a Game-Changer for Financial Reporting As your establishment grows, tracking financial activities and performance becomes more challenging. Larger teams, increasing transactions, and expanding data add complexity. Why risk errors or delays? Automate your workflow sooner rather than later and reap the worthwhile rewards: - Boost productivity: Automation does the work of multiple people in seconds. - Improve output accuracy: Even skilled specialists can make the occasional error or have biases. Let finetuned software handle data reconciliation and validation to guarantee consistency and accuracy across every report. - Make compliance tracking easier: The last thing you want is to miss regulatory deadlines and face penalties. Financial reporting automation helps enforce a standardized approach with internal controls. - Accelerate decision-making: Organization leaders and team managers need fast, accurate, in-depth insights to guide their choices. Many tools provide real-time data and clear visuals that help you spot trends and patterns easily. Tips for Smooth Adoption of Automated Financial Reporting Tools Many businesses rush into automating their operations without proper planning. The end result is usually lackluster or hurts the company in the long run. Follow these steps to guarantee success: Set Clear, Measurable Goals Assess your needs first and identify key areas that would benefit most from this upgrade. Define what success looks like. Is it saving time or reducing errors? Having metrics in place to track progress makes a big difference. Choose Your Automation Tool Carefully Invest in software that easily integrates with existing systems and scales as your needs grow. Do your due diligence and check the vendor’s reputation, customer support capabilities, and ability to tailor solutions to your goals. Look for helpful features, too. Cloud accounting software, for example, enables remote access, improves data security, and eliminates the hassles of server maintenance. Bridge Skill Gaps With Comprehensive Training Automation software is powerful, but its impact depends on the people using it. Equip your team with the knowledge to use these tools effectively. Implement Gradually and Monitor Performance Roll out your new workflow in phases. We recommend starting with one or two processes and gathering feedback. Assess what’s working and what’s not. Make improvements before expanding to other areas for long-term success. Unlocking Efficiency for a Competitive Edge Automated journal entries and a consolidated financial close process make things easier, but that doesn’t mean you can ignore the human element. While financial reporting automation can save time, it’s not a one-size-fits-all solution. Balancing technology with human input is the key to accuracy and reliability.
Fernando Sanchez - Technical Writer Originally published on IOHK.io: October 28, 2021 Cardano will become a secure and private environment for Grace's AI modules, so her work can meet international healthcare requirements AI is coming to the Cardano blockchain in the form of Grace, the AI robot developed by Awakening Health, a joint venture between Hanson Robotics and SingularityNET. They have chosen Cardano to ensure that Grace meets the stringent guidelines set out by the Health Insurance Portability and Accountability Act (HIPAA) and the General Data Protection Regulation (GDPR) framework. Grace has been designed to interact with the elderly and others who have been isolated, whether because of the Covid-19 pandemic or for other reasons. She looks like a healthcare worker, speaks English and Korean, and takes patients’ temperatures using a thermal camera. She can also measure people’s responsiveness and mirror their emotions, helping her not just to come up with diagnoses but also to respond empathetically. Apart from the inherent security and privacy that it will provide, the move to Cardano will dramatically improve Grace's performance and lead to lower, predictable, and stable costs. Cardano also solves the scalability challenge, meaning Grace’s brain can operate at the highest level and process biodata quicker. Ben Goertzel, creator of the AI technology for Grace and CEO of SingularityNET, said: ‘While Covid-19 has had a huge impact on physical health, the mental health impacts will echo long after the lockdowns lift. ‘This is why solutions like Grace are so important, to combat loneliness and ease the burden on frontline workers. And with Cardano’s market-leading capabilities, she will be able to scale to meet this global challenge. ‘As we gradually ramp up Grace's general-intelligence capabilities over the next few years, she will be able to serve more and more valuable functions in the elder-care and medical space – learning more and more about humanity and absorbing human values as she goes.’
- The Impact of Artificial Intelligence - A Closer Look at AI - The Future of AI Technology - Key Features of Artificial Intelligence Welcome to the dazzling realm of artificial intelligence (AI), a world where machines evolve to perform tasks that require human-like intelligence. Imagine a future where your alarm clock not only wakes you up but also brews your coffee and schedules your day based on your mood. Sounds fascinating? That’s the power of AI. The introduction to artificial intelligence is not just about advanced software and algorithms; it’s about transforming everyday experiences and driving innovation across various industries. At the heart of this technological marvel lies machine learning, a subset of AI where systems learn from data, identify patterns, and make decisions with minimal human intervention. Envision AI as the quiet backstage genius at a concert, seamlessly orchestrating a symphony of data, transforming basic rhythms into melodious trends and insights. Beyond its technical prowess, AI evokes curiosity and wonder, driving us to question: What limitations can we push with AI? The excitement is palpable, as researchers and tech enthusiasts dive into uncharted waters, discovering new potentials and applications. For businesses, this introduction to artificial intelligence means a revolution. Companies not only streamline their operations but also enhance customer interactions, predicting needs, and personalizing experiences. From chatbots resolving customer queries to algorithms that predict stock market trends, AI is the unsung hero making waves behind the scenes. For students and professionals, understanding AI opens doors to a plethora of opportunities in tech fields that were previously unimaginable. The Impact of Artificial Intelligence Artificial intelligence is no longer a guest actor; it’s the star of the show! Imagine a world where technology understands you better than your best friend. AI is creating value across sectors, be it healthcare, finance, or education. In the medical field, AI aids in diagnosis, offering precision that was once thought unattainable by human standards. Educational platforms now use AI to adapt learning processes, catering lessons to individual student’s pace and style. Turning to a more light-hearted perspective, AI adds a fun twist to mundane daily activities. Ever laughed at a meme generated by bots that humorously capture human quirks? Or listened to a virtual assistant flawlessly execute your silly song requests? The playful intersection of AI with humor makes technology more relatable and less intimidating, breaking the ice in this introduction to artificial intelligence. Now, if you’re inspired to embrace this tech marvel, dive deeper, explore how to incorporate AI in your ventures. Remember, the journey of a thousand miles begins with the first step – your introduction to artificial intelligence. Harness this potential now, and witness how AI transforms visions into reality! A Closer Look at AI How AI Mimics the Human Mind Artificial intelligence has often been depicted as the brainchild of tech wizards, a mysterious force shaping the future. But let’s demystify it. AI mimics human cognition through complex algorithms designed to process information and produce logical outcomes. This similarity to human reasoning is what makes AI fascinating and incredibly valuable. This introduction to artificial intelligence takes us deeper into how AI learns to ‘think.’ Through neural networks that simulate the human brain’s interconnected neurons, AI learns from input data, improving its performance over time. Think of it as a student who gets better with practice and feedback. From recognizing faces in a photo album to predicting weather patterns, AI’s learning abilities make it an indispensable tool in the modern era. Understanding the Scope of AI Understanding the scope of AI involves acknowledging its growing influence in our everyday lives. The tools that seemed futuristic a decade ago are now woven into the fabric of routine tasks. Smart homes powered by AI manage energy consumption and ensure security, turning mundane daily chores into seamless experiences. This expansive reach of AI is a key point to spotlight in the introduction to artificial intelligence. As we continue to evolve technologically, AI is poised to be the backbone of future innovations. Beyond mere convenience, it promises to elevate human capacities, challenging us to think creatively about its applications in unexplored domains. Seven Goals of Artificial Intelligence Incorporate AI into your business strategy today and witness productivity soar, proving this introduction to artificial intelligence was just the beginning. The Future of AI Technology Bridging the Gap Between Technology and Humanity As we stand at the brink of AI’s golden era, it becomes crucial to address its harmonious integration with human society. With the power to revolutionize sectors, AI also bears the responsibility of being a complementary force to human productivity, not a replacement. The introduction to artificial intelligence must focus on human values alongside technological advancement. AI’s capability to process large sets of data brings to the fore scenarios previously deemed impossible. But with great power comes great responsibility. Issues like data privacy, ethics, and employment must be tunneled through vigilant policies and practices. It’s here that the voice of informed citizens and proactive communities plays an indispensable role, shaping the future of AI for the betterment of humanity. Creating Opportunities for the Job Market There’s an unfounded fear that AI could render human jobs obsolete. However, historical evidence suggests technology often leads to job creation. The introduction to artificial intelligence and its widespread integration across industries could spark opportunities. Jobs in data science, AI system management, and ethical AI governance are emerging rapidly, promising a rich landscape of new careers. Consider AI as that superhero partner—not flying solo but working alongside to tackle complex challenges, opening avenues for human ingenuity. Ensuring Ethical AI Development The ethical development and deployment of AI are paramount to its success and acceptance. It is crucial to incorporate fairness, accountability, and transparency in AI systems to prevent biases and foster trust. Developers and policymakers play vital roles, ensuring AI serves the greater good by adhering to ethical standards. This approach prevents the introduction to artificial intelligence from descending into dystopian possibilities often depicted in pop culture. Instead, firmly grounded ethical standards guide AI into becoming a trustworthy ally in humanity’s journey toward progress. Stakeholders across the board are urged to regularly analyze AI systems’ ethical soundness, ensuring developments do not harm or deceive. Engaging the Public with AI Public engagement with AI is crucial to demystifying its capabilities and easing apprehensions surrounding its integration. Community programs, workshops, and seminars can illuminate the scope of AI, enhancing understanding and sparking curiosity. Surprisingly humorous experiences, like interacting with quirky AI in playful settings, can shift perceptions from intimidation to intrigue. In what may be the most exciting chapter of the introduction to artificial intelligence, the timeline is peppered with stories of success and learning. AI, if harnessed intelligently, enriches lives and collectively propels us into an era of opportunities tinged with creativity. Understanding the nuances of AI, from decision-making capabilities to fostering ethical practices, sets the stage for its impact on our lives. This introduction to artificial intelligence opens doors to a vibrant future, calling you to be an active part of its transformative journey. Key Features of Artificial Intelligence The role of AI will undoubtedly continue to expand, guiding innovations and revolutionizing industries. Dive into this realm and harness its potential today.
Andy Stabler is an American former professional football player, notably the son of NFL Hall of Fame quarterback Ken "The Snake" Stabler. Following in his father's athletic footsteps, Andy played college football, primarily at Henderson State University. He then pursued a professional career, which included a period with the New Orleans Saints in the NFL as a defensive back in 1998. Stabler also had a more extensive career in the Arena Football League (AFL), where he played for teams such as the New England Sea Wolves, Tampa Bay Storm, and Carolina Cobras, often showcasing versatility by playing on both offense (quarterback) and defense. Andy Stabler's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey: Signed and played for the New Orleans Saints in the National Football League during the 1998 season, contributing as a defensive back. Had a multi-year career in the Arena Football League, playing for several teams including the New England Sea Wolves, Tampa Bay Storm, and Carolina Cobras, demonstrating adaptability across different positions. Played college football, with a notable period at Henderson State University, before advancing to a professional career. University of Newcastle-upon-Tyne Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster. Stable Computing Ltd. is a technology company focused on providing dedicated AI infrastructure and managed services. They aim to simplify enterprise AI adoption by offering high-performance computing resources, optimized for demanding AI/ML workloads, allowing businesses to accelerate their AI initiatives without the complexities of building and managing their own infrastructure. Their services cater to enterprises looking for scalable, secure, and cost-effective AI compute solutions. Get verified emails, phone numbers, and LinkedIn profile details Discover contacts with similar roles, seniority, or companies Uncover insights like skills, work history, social links, and more Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view. Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter. Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away. Thousands of companies, including, are just a search away.
Rutland - Oakham (Hybrid) Permanent, Flexible hours, Full time £38,626 – £41,511 Unlock the Power of Data with Rutland County Council We are looking for a highly skilled and motivated Power BI Developer to join our Business Intelligence team at Rutland County Council. This is a fantastic opportunity for an experienced data professional to play a crucial role in developing and delivering high-quality, automated dashboards and reporting solutions that drive decision-making across multiple council services. About the Role…… As a Senior Business Intelligence Officer, you will be responsible for designing, developing, and maintaining Power BI dashboards and business intelligence solutions that improve data accessibility and usability across the organisation. You will collaborate with key stakeholders to understand data requirements, provide insights, and support service improvements through innovative data visualisation and analytics. Key responsibilities include: - Developing and maintaining Power BI solutions in line with the council’s business intelligence strategy. - Working closely with stakeholders to gather requirements and provide expert advice on BI best practices. - Analysing and interpreting large datasets to produce insightful reports and dashboards. - Ensuring data quality and governance, supporting statutory reporting requirements. - Exploring opportunities for automation and process improvements using Microsoft 365 Power Platform tools. We are looking for a candidate who has: - Proven experience in developing end-to-end Power BI solutions, including data modelling and DAX calculations. - Strong SQL skills, with knowledge of data warehousing, ETL processes, and reporting tools such as SSRS. - A keen eye for data visualisation, ensuring reports and dashboards are clear, accessible, and informative. - Excellent problem-solving skills, with the ability to translate business needs into effective BI solutions. - Strong communication skills, with the ability to engage with stakeholders at all levels and explain technical concepts in plain language. A degree in a relevant subject (or equivalent experience) is desirable. Why Join Us? Our offer to you….. Rutland Council is committed to Flexible Working and understands the benefits of supporting employees to manage their work and life balance, whilst meeting the needs of the service. We are committed to supporting and empowering our staff to be the best workers that they can be and Rutland Council is the place you want to be. Our benefits go beyond the salary – being part of a great team, excellent Local Government Pension, generous annual leave, opportunities to learn and develop your career, and a demonstrable commitment to supporting the health and wellbeing of our staff. Whilst the base for this post is Oakham, Rutland, the Local Authority offers a hybrid working practice. As well as working from home, we feel it is important that you have the opportunity to spend time in the workplace with your colleagues to help you learn, develop and engage. Find Out More & Apply: If you are experiencing problems or have any queries about the application process, please call us on 01572 758291 or email us at [email protected]
WNR.AI - Chatbot models What is WNR.AI? WNR.AI is an advanced conversational AI platform that enables users to create their own AI models capable of engaging in conversations with images and voice. The platform offers a wide range of functionalities to develop custom AI chatbots and virtual assistants to suit different needs. Some Key Features of WNR.AI: - Community-based AI Development: WNR.AI fosters a collaborative environment where members can create and share their AI models with the community. - Conversational Capabilities: Users can chat with various AI models developed by the community using different language models (LLMs). - Multimedia Interactions: Some AI models are capable of sending and receiving images as part of their conversational output. - Free from Restrictions: WNR.AI allows users the freedom to create AI models without imposing unnecessary limitations. - AI Censoring: The platform provides the option to enable or disable AI censoring, allowing users to determine the level of content filtering. - Discord Community: WNR.AI offers a Discord community where users can connect, ask questions, and collaborate with other members. The platform empowers developers and AI enthusiasts to leverage the power of conversational AI to explore creative possibilities, enhance user experiences, and build dynamic AI-driven solutions. With WNR.AI, users have the freedom to create AI models tailored to their specific use cases, enabling them to unlock the potential of conversational AI technology. Join the WNR.AI community and start creating your own AI bots to engage and interact with users in a personalized and interactive manner. What people are saying about WNR.AI - Chatbot models #GoPromptYourSelf ! 🔽 Copy/Paste 🔽 in ChatGPT Re-Write movie 🎬 HER 🤖, but putting Robert Scoble (@Scobleizer) into it. Craft the engaging love story w/ Samantha w/ captivating dialogue that keep readers/viewers @ in stitches laughing 😂. Writing Style: a Romantic Comedy Now I can ask the tough questions without cluttering up @Scobleizer's mentions! 😂🤗 Had a great visit with @Scobleizer last week We created a humanized AI version of him powered by our new LLM: grace-chat-001 Check it out: wnr.ai/ais/robert-ai Fascinating concept from @WNR_AI! 🌟 🔸 AI Devils 😈 and Angels 👼, engaging in lively group chats 🔸 It's AI talking to AI - a unique spectacle! 🔸 Join in, contribute, and share your fun experiences Check it out: ai-group-chats.web.app/chats/PlOkLXwv #AIInteraction #GroupChat #AIChat
Is your Quickbooks company file corrupt? File corruption is a common problem. It occurs when data becomes damaged. Being that all of your business’s financial transactions are stored in the company file, you’ll need to protect it from corruption. Fortunately, Quickbooks offers a tool for fixing problems with your company file. Known as the rebuild data tool, it can restore your company file back to working order so that it’s no longer corrupt. How do you use the rebuild data exactly? Steps to Using the Rebuild Data Tool In Quickbooks Desktop, you can use the rebuild data by clicking the “File” menu on the home screen, followed by “Utilities” and then “Rebuild Data.” You will then be prompted to create a backup of your company file. Creating a backup is important because it ensures that if something goes wrong, you can revert the changes to restore your original company file. After creating a backup of your company file, Quickbooks will begin to repair your original company file. Keep in mind that the rebuild data tool can take a while to complete the repair process. Depending on the size of your company file, it may take anywhere from five to 15 minutes — sometimes even longer. Once complete, you should see a message indicating that the rebuild data tool has finished repairing your company file. You can then select “OK” to complete the process. Verify Your Company File It’s recommended that you verify your company file after using the rebuild data tool on it. Verification is designed to check the data within your company file for errors. If the rebuild data didn’t work, verification will reveal it. You can verify your company file by going back to the “File” menu on the home screen and selecting “Utilities,” followed by “Verify Data.” This alternative Quickbooks tool will then verify your newly rebuilt company file. Assuming no problems are discovered by the tool, you can click “OK” when it finishes. If the tool does find one or more errors, you should try rebuilding it again. Rebuilding your company file for a second time can often fix errors. Your company file is essential for accounting. It contains all income and revenue transactions that your business has performed as well as the accounts with which it performed them. If there’s a problem with your company file, you can use the rebuild data tool. Just remember to follow up by using the verification tool shortly thereafter. Did this tutorial work for you? Let us know in the comments section below!
Azure Data Factory (ADF) is a fully-managed, serverless data integration service. You can easily create data pipelines to do ETL (extract, transform, load) or ELT (extract, load, transform) workflows. Azure Data Factory offers you a GUI-based, code-free option to create your data pipelines. Let's dig in. High Level Architecture Pipelines are the bread and butter of ADF, they are what you use to build your data workflows. A Pipeline is just a logical grouping of Activities. Activities come in 3 different varieties (more on that below). Pipelines can be triggered manually, triggered based on a schedule, or triggered based on an event. Activity Type 1: Data Movement The first type of Activity is a Data Movement activity. This is made up of just 2 types of Activities. First, you can delete data from a data store. Second, you can copy data from a source data store to a sink (destination) data store. The list of supported data stores is quite large, and there are some limitations: some data stores are not supported as sources, some data stores are not supported as sinks, some data stores only support self-hosted runtimes. See the docs for a full breakdown of all the data stores and their supported scenarios. You define your data stores by way of creating Linked Services. In a way, you can think of Linked Services like connection strings. In addition to defining how to connect to each data store (Linked Services) you must also define one or more Datasets for each data store. A Dataset is a way to identify which specific data (tables, files, folders, documents) that you want to target within your data store. Activity Type 2: Data Transformation The next type of Activities are Data Transformation activities. These allows you to transform and process your data. Data Transformation requires the use of some type of compute, and each type of compute supports its own specific set of Activities. Let's discuss the various options. Most Data Transformation Activities use compute options that exist outside of ADF (but there are exceptions, which I will discuss later). See the docs for a full breakdown of the various compute options. Some examples are Azure HDInsight clusters, Azure Databricks, Azure Machine Learning, and more. Just as you did with data stores, you must create Linked Services that represent your compute options and how to connect to them. Each compute option supports a limited number of Activities. For example, the HDInsight cluster option supports 5 Activities: Hive, Pig, Spark, MapReduce, and Hadoop Streaming. As noted above, there are a few compute options that are different. The first one is an on-demand HDInsight cluster. ADF will automatically spin up a HDInsight cluster before a job is submitted, and then it will remove the cluster when the job is complete. It's important to note that it can take 20 minutes or more to provision the cluster on-demand, so keep that in mind. The cluster can be of type 'Hadoop' or 'Spark', and it's created inside your own Azure Subscription. The second exception is when you are working with Data Flows. For compute, Data Flows use on-demand, fully managed, auto-scaled Apache Spark clusters that run on Azure-hosted Integration Runtimes. The first type of Data Flow is called a "Mapping" Data Flow. These allow you to use a GUI-based visual interface to create complex data transformation logic without writing any code. See the docs for a full list of the types of supported transformations. The second type of Data Flow is called a "Wrangling" Data Flow. These allow you to do code-free data preparation using Power Query, letting you run Power Query M functions inside your ADF Pipelines. Wrangling Data Flows only support a handful of data sources, see the docs for full details. The last exception to discuss is running SSIS Packages. When ADF executes SSIS Packages, it will do so on fully managed compute instances running on Azure-hosted SSIS Integration Runtimes. More on the various types of Integration Runtimes below. Activity Type 3: Control These types of Activities can be used for various different functions. Some of these are similar to programming functions, such as setting variables, appending to variables, doing loops, conditionals, and more. Then you have some activities dealing with the Pipeline itself, like invoking another Pipeline, getting metadata, waiting for a specified time, and more. See the docs for a full list of all control Activities. Integration Runtimes are the compute infrastructure that ADF uses for doing the following: executing Data Movement Activities with the linked data stores, dispatching Data Transformation Activities to the linked compute instances, executing Data Flows, and executing SSIS Packages. Integration Runtimes come in 3 different flavors. Self-Hosted Integration Runtimes The first type of runtime is a Self-Hosted runtime. As the names suggests, this option uses your own machine(s) that you host yourself (either in the cloud or on-premises). A single Self-hosted runtime can be made up of / can scale out to 4 of your self-hosted machines. Self-hosted runtimes only support Windows operating systems. Some of the reasons that would require you to use a Self-Hosted runtime include: If a Linked Service is not accessible from ADF's public cloud environment If a Data Store requires a custom driver that is not included on the Azure-hosted runtimes Azure-hosted Integration Runtimes The next type of runtime is an Azure-hosted runtime. As the name suggests, this option uses fully managed machines, which are hosted and automatically scaled by Azure. The Azure-hosted runtime also includes the fully managed and autoscaled Apache Spark cluster, which is used to run Data Flows. You can configure an Azure-hosted runtime to operate in a specific Azure Region. Or, you can configure it for "Auto-Resolve" which means it will pick the best Azure Region to use for each task. Since this runtime is hosted by Azure that means, by default, the runtime only has access to Linked Services that have publicly accessible endpoints. However, you can configure your Azure-hosted runtime to use a "Managed" Virtual Network. This virtual network is fully managed by Azure, and allows you to create "Managed" Private Endpoints for certain types of Linked Services. This means it is possible for the Azure-hosted runtime to privately communicate with certain types of Linked Services. Check the docs for full details (look at the column for Managed Private Endpoint). Some of the reasons that would require you to use an Azure-hosted runtime include: You do not want to create and manage your own Self-hosted machines If you need to execute a Data Flow If you want to use the on-demand HDInsight cluster Azure-hosted SSIS Integration Runtimes The last type of runtime to discuss is the Azure-hosted SSIS runtime. These are hosted and fully managed by Azure. By default, this runtime is provisioned in the public Azure network. However, you do have the option to inject the runtime into your own private Azure Virtual Network, if desired. The only reason that would require you to use an Azure-hosted SSIS runtime: If you need to run the Execute SSIS Package Activity That's everything that I wanted to cover for a high-level overview of Azure Data Factory. There are newer versions of Azure Data Factory, namely Azure Synapse Analytics, and more recently Azure Fabric. I may eventually cover those products as well, and if I do I will update this page with links. I've written about Azure Data Factory before. Specifically, I've written a 2-part series on doing CI/CD with Azure Data Factory. Please check that series out if you're curious. In that series, I also include a link to my GitHub repo, where I have some example Azure DevOps Pipelines that will help you get started.
We don’t need to search far for a proof that technology has made a global impact. In fact, machines and humans now work side by side to accomplish feats faster than ever before. The Philippines is no stranger to technology, and it seems like tech-related jobs has even become on-demand in the country. It is perceived that the national digital economy is expected to have a worth of USD 25 billion (PHP 1.27 trillion) within a span of 5 years until 2025. E-commerce is expected to receive a share of USD 12 billion (PHP 610.4 billion), with online travel services getting a portion worth USD 5 billion (PHP 254.4 billion). In the Philippines, the best jobs Filipinos aim for are those which focuses on their growth or growth potential. Linkedin reported the top 10 jobs which shows the best yearly promise. Their list includes the following: Popular technology jobs in PH with high salary 1. Robotics Engineer Important for customer experience and revenue growth, especially now that automation and bots are expected to possibly impact the future in another level. 2. Cyber Security Specialist They ensure the safety of online users, to protect vital (and personal) information from cybercrime attacks and/or viruses. 3. Customer Success Specialist Their goal is to understand the needs of their clients. Those who plan to apply for this kind of job need not only be aware of technology but should possess both soft and hard kind of skills. 4. Data Scientist This job requires the Data Scientist to seek out today’s top trending topics even before they get revealed in public. It requires them to analyze data and give their feedback among other things. 5. Sales Development Representative This kind of job handles customers and potential customers. They work closely with the Philippines Business Process Outsourcing (BPO) sector. - TESDA offers free training in game development, animation, and other high-tech skills - Esports as a possible college degree for our generation: are we really ready or is it a bit too early? 6. Full Stack Engineer If you are the kind of person who can ensure to see a project through and has knowledge in software development skills in the front and back-end, a Full Stack Engineer may be a possible path to take. 7. DevOps Engineer They deliver new software, services, and applications to industries, but they are also responsible for creating new software. 8. Data Engineer Unlike Data Scientists, Data Engineers are responsible for building, testing, and maintaining data systems. This job is for those who are able to move in both front and back-end work; developers are required to build and implement front-end logic which is vital for the visual aspects of platforms. 10. Cloud Engineer As the cloud system develops in our time, so does the demand for this job. These engineers work with the designing, planning, managing, maintenance, and support of cloud systems. These jobs define the future, and if we are to expect the Philippines to advance, then these kinds of fields should definitely be taken into considerations by those looking for employment and wants to put their knowledge in technology to professional heights. What do you think of these emerging tech-related jobs in the Philippines? Do you think we’re ready to cater such job descriptions? Let us know your opinions on the comment section below.
Certain specifications, prices and equipment data have been provided under license from Chrome Data Solutions (\’Chrome Data\’). © 2025 Chrome Data Solutions, LP. All Rights Reserved. This information is supplied for personal use only and may not be used for any commercial purpose whatsoever without the express written consent of Chrome Data. Chrome Data makes no guarantee or warranty, either expressed or implied, including without limitation any warranty of merchantability or fitness for particular purpose, with respect to the data presented here. All specifications, prices and equipment are subject to change without notice. EPA mileage ratings are supplied by Chrome Data Solutions, LP for comparison purposes only. Your actual mileage will vary, depending on how you drive and maintain your vehicle, driving conditions, battery pack age/condition (hybrid models only) and other factors. Based on 2019 EPA mileage ratings. Your MPGe/MPG and driving range will vary depending on driving conditions, how you drive and maintain your vehicle, battery-pack age/condition, and other factors. Vehicle pricing is believed to be accurate. Tax, title and registration are not included in prices shown unless otherwise stated. Manufacturer incentives may vary by region and are subject to change. Vehicle information & features are based upon standard equipment and may vary by vehicle. Monthly payments may be higher or lower based upon incentives, qualifying programs, credit qualifications, residency & fees. No claims, or warranties are made to guarantee the accuracy of vehicle pricing, payments or actual equipment. Call to confirm accuracy of any information.
The World Bank will not reduce financial assistance to India for poverty alleviation measures because of the recent official data that showed a decline in the number of poor people in the country. The international funding agency takes a long-term view on its commitments and the poverty data released on Monday will not have any bearing on that commitments, World Bank Country Head N Roberto Zagha said. Zagha said, however, that the Bank does use official data put out by Indian agencies while making its plans. "We are constantly analysing (data), and right now I don't feel there will be any cut because the data have shown a reduction The Washington-based multilateral lender envisages lending USD 14 billion for projects in the country between 2009 and 2012, according to the Bank's country website. According to the data by the Planning Commission, the number of people under the poverty line - whose daily consumption is below Rs 28.65 for urban centres and Rs 22.43 for rural areas - declined to 29.8 per cent in 2009-10, from 37.2 per cent in 2004. Zagha welcomed the Union Budget 2012-13 that was presented to Parliament last week, calling it "realistic". He said, however, that energy, uneducated labour force, increased urbanisation and regulatory issues are the challenges being faced by the country at present and demand added attention of policymakers.
Turkcell announced that its subsidiary, TDC Veri Hizmetleri (TDC), has secured €100 million in murabaha financing through a strategic agreement with Emirates NBD Bank, a leading banking group in the Middle East and the Turkiye MENAT region. The five-year financing agreement is intended to empower Turkcell Group’s data center investments via TDC, accelerate its digital infrastructure initiatives, and align with its long-term strategic growth objectives. Strategic Financing to Drive Data Center Expansion The financing agreement, which is based on interest-free murabaha principles, marks a significant milestone for TDC as it enhances its position in the data center and cloud business. Turkcell’s strategy focuses on high-capacity, eco-friendly data centers to meet the growing demands of cloud computing, AI, and big data. Aligning with national digitalization goals, Turkcell supports local businesses while attracting global customers seeking secure and scalable digital solutions. “The financing secured with Emirates NBD is a testament to the confidence that global financial institutions have in Turkcell. It further affirms that our strategic commitment to driving future growth and delivering value to our investors is steering us in the right direction. We are proud to attract international investment into our data center operations. And we believe these investments will pave the way for more strategic partnerships and future investments, unlocking new opportunities for growth and collaboration in the digital landscape,” said Kamil Kalyon, Chief Financial Officer at Turkcell. Diversifying Financing Sources and Strengthening Gulf Relations Kamil Kalyon continued, “This murabaha financing structure, adhering to Islamic finance principles, is expected to open new avenues for collaboration in the Gulf region. By diversifying our financing portfolio, TDC can mitigate risks while exploring further strategic partnerships in key markets. This agreement with Emirates NBD underscores Turkcell’s commitment to expand its digital infrastructure capabilities while reinforcing its role as a trusted partner in the global finance community.” Emirates NBD Capital, the global investment bank for the Emirates NBD group, which supported Turkcell’s USD1 billion Eurobond issuance in 2024, played a leading role in the deal, acting as both Mandated Lead Arranger and Bookrunner. Pri McNair, Group Co-Head of Corporate Coverage at Emirates NBD, said, “Emirates NBD’s EUR100 million Murabaha financing deal with Turkcell is part of a long-term strategy to support growth-oriented companies investing in digital transformation. This deal reflects our confidence in Turkcell, and we’re proud to support the company’s data center expansion, consolidating its position as a telecom leader. This transaction further reinforces Emirates NBD’s role as a trusted financial partner delivering tailored solutions that drive sustainable growth.”
Theorem Solutions are pleased to announce the release of the latest V23.3 CADverter for CATIA V5 to Creo users. V23.3 CADverter supports CATIA V5-6R2017, 2018, 2019 and 2020 as well as up to and including Creo 4.0, 6.0 and 7.0. Our CADverter product translates assembly structure, geometry, attributes and where available 3D Product Manufacturing Information (PMI) and Metadata between CATIA V5 and Creo. If assembly data (product structure) is in the file, the assembly structure will be mapped between the two systems as well as colour and layer information. The CATIA V5 to Creo CADverter can be used interactively or in a batch mode, using the Theorem Unified Interface. The Theorem UI enables data translation, pre/post translation viewer, translation configuration management and metadata viewer The aim of the CADverter is to allow the user to translate any data that they have held in a CATIA format and make it useable in Creo for various use cases, whether the downstream user wants a lightweight reference part to model around, or a precise copy of the data translated to allow measurement and editing of translated models. Our unique approach to the challenge of an enterprise level workflow is built from over 25 years of experience with CAD to CAD conversion and PLM data exchange. Theorem’s solutions are built with development tools and APIs supplied and supported by the major CAD vendors that we have strategic partnerships with. This means we do not reverse engineer and can provide you with a robust application that offers full control over data preparation and optimization for the target formats. Our strategic partnerships with Dassault Systemes and PTC ensures that there is parallel development between the latest releases of CATIA V5 and Creo, and Theorem’s CADverter products, allowing Theorem to continue to provide data solutions for the CAD community.
A lot of people know the situation: You get a new and fast Internet connection. But your provider is a support nightmare. He hands you a practically black boxed router that automatically gets its connection data from the Internet and you have no chance of ever getting this data. After all.. why would you.. isn’t it much easier this way? Well.. let me tell you a little secret the providers don’t like to be advertised that much: Not only do they push the configuration to your new router, but they can also change it ANYTIME they want. If you have a regular setup like most people it looks like this: (Given, not everyone has a NAS at home. But they become more and more common as the devices become more simple and the data people want to store (like e.g. Audio and Video Data) needs to be shared between devices in the network. So for the sake of this article lets assume the regular user has some kind of network capable storage. Technically even a smartphone or a wifi enabled HiFi system is a network attached data storage but lets keep it simple). In this kind of setup that we see in the above picture, the Router that you use is the only barrier between your data (or device that holds your data) and the Internet. Suddenly a device you though just “provides you with internet access” becomes the only thing between your privacy and total disclosure of your private data to the world! Worse yet: even if you are as naive as to assume you provider will never do you harm, will never be hacked and never be forced by the government to give them access to your data, there is hardly a month were security groups in the Internet and from companies don’t find horrific bugs in common router firmware. With the providers being the only ones who can update your router, you have to put total trust in them to do so in a timely manner. Sadly they usually are way behind when it comes to updating the devices. So obviously this is a setup that is not acceptable. A possible solution would look like this: - You waste power for a device you practically don’t use (the provider router). - The provider (or someone who hacked it) can still do stuff to the other router and close ports or mess with connections. - You still need to use the provider router for the SIP connection because you don’t have the login data for that. - Your connection speed might drop from having two firewalls and 2 NAT systems behind each other. - In worst case scenarios you can’t open ANY Ports towards your network because your provider doesn’t want it. Its obvious that the best solution would be to have your own router (for me this is my Gentoo server) and telephone system (Asterisk in my setup) running that you can maintain and implement your own security plan as needed. When I switched my Internet provider this week (for a lot more speed) I had exactly this problem. They just give you a router (FritzBox) and nothing else. For me it was clear from the beginning that I was going to use my own solution as I have been for the last 4 years. This is the story of how I managed to do just that. My first idea (that I had before I even had the thing in my hands) was to hack the router right after it had downloaded the configuration from my provider. I knew from articles in the Internet that there was a slim chance of getting a telnet daemon running on the FritzBox and connecting to that. However when the device was done downloading the data, it became clear pretty fast that this door was slammed shut by my provider. In fact there was no getting into that router from any angle. It took me the better part of a day to realize that this idea was a dead end. I needed a new plan… and I had one. I knew from experience, that most companies don’t take security that seriously. So I though to myself: “Why should that router send all the login data encrypted over my DS Line?”. After all who really has the capabilities to sniff a very high frequency modulated signal in a cable that is mostly under ground (yes the government has, but they can just get that data if they want to). Fortunately the FritzBox has a sniffing program integrated for all Interfaces designed for customer support problems (horrifying I know but in that moment.. pure gold!). It records all packets send over a specified interface in the wireshark format. No sooner said than done I had a neat amount of PPPOE packages on my hard drive recorded during the login procedure via DSL. It didn’t take me to long to find the data that I was looking for. 3 different PPPOE connections. One for the Internet line, one for the voice channel and a third one for the TR-096 channel (provider remote access for touter configuration)! It was unencrypted as I though and the passwords and usernames where plaintext Place facepalm and happy dance here. The last thing that was missing, was the username and password for the sip connection to my provider. And here I hit another dead end again. While PPP login using unencrypted PAP authentication is not that unusual, the SIP protocol has per standard an encrypted HTTP Digest challenge as login procedure. Though I could easily get the username (it was unencrypted of course :-/) it proved impossible to get the password this way (Technically it wasn’t impossible, but I would have had to put an immense amount of CPU/GPU time and energy into reverse calculating that has to a password password. Considering it turned out to be 8 characters long, that might have taken month, if not more, of a permanently running cracking program). But I was not about to give up that easily. After all as Jean-Luc Piccard once said: “Things are always impossible until they’re not!”. I needed yet another plan. I remembered that though I did not know that password, neither did my router when I first unpacked it. I started digging into the TR-096 protocol. And there I found the weak link I was looking for. Although TR-096 uses HTTP as means of transport it is recommended to use HTTPS for obvious security reasons. My provider of course did not. When I saw the CPE management URI starting with http:// I knew I was onto the solution. I set my router back to its original state and disconnected the DSL cable. After rebooting the box, I immediately started the sniffer on the Internet line. At first I was only getting rather useless PPPOE session data (PADI;PADO;PADR,PADS) or chunks of TCP data that wasn’t readable. I already became somewhat frustrated when the sniffer hit gold.A series of HTTP packages! I quickly put them together (they where fragmented) and the result looked something like this: POST /live/CPEManager/CPEs/Auth_Basic/avm/ HTTP/1.1 Content-Type: text/xml; charset=”utf-8″ SOAPAction: “cwmp:Inform”<soap:Envelope xmlns:soap=”http://schemas.xmlsoap.org/soap/envelope/” xmlns:soap-enc=”http://schemas.xmlsoap.org/soap/encoding/” xmlns:xsi=”http://www.w3.org/2001/XMLSchema-instance” xmlns:xsd=”http://www.w3.org/2001/XMLSchema” xmlns:cwmp=”urn:dslforum-org:cwmp-1-0″> <EventCode>7 TRANSFER COMPLETE</EventCode> <EventCode>4 VALUE CHANGE</EventCode> <Value xsi:type=”xsd:string”>InternetGatewayDevice:1.4(Baseline:2, EthernetLAN:1, ADSLWAN:1,ADSL2WAN:1, Time:2, IPPing:1, WiFiLAN:2, DeviceAssociation:1), VoiceService:1.0(SIPEndpoint:1, Endpoint:1, TAEndpoint:1), StorageService:1.0(Baseline:1, FTPServer:1, NetServer:1, HTTPServer:1, UserAccess:1, VolumeConfig:1)</Value></ParameterValueStruct> Of course there was real data in there. I just put the stars in to cover up sensitive information. Somewhere in this chunk of data (apart from all the config data that I already had from my other sniffing attempts) if found two junks that where like the second coming for me on this day: Bingo! The last puzzle pieces to my odyssey! As a last measure of verification, I flashed my router with a de-branded firmware and entered the data that I had collected in the appropriate interfaces (to make sure that there was no other special stuff in that old firmware that was needed to make the connections). And it worked like a charm. Even though it might not seem like such a big deal for some.. for me those two days of hacking to get my own data (after all I pay for that connection) was quite an experience in itself. Especially since I was successful! Another win for free choice and against oppression :-P. And the moral of the story? Thank god most ISP’s are to lazy to implement real security. If all those connections would’ve been encrypted, it would’ve been nearly impossible to get all that data. Crazy and scary at the same time :-P.
Legacy tools were not built to support the needs of a modern data center. As VMware customers look to modernize their IT infrastructure, they need a flexible, purpose-built data protection solution to ensure their workloads are secure in each stage of their hybrid cloud journey. An Optimized Solution for VMware VMware + Veeam work closely together to ensure that mutual customers can quickly and reliably recover their data, no matter its location. Veeam was purpose-built for VMware, so we’ve continuously innovated to provide modern, future-proof solutions that scale with their needs. Eliminate downtime and minimize data loss with multi-tenant Continuous Data Protection (CDP) in VMware Cloud Director. Instantly fail over to the latest state or point in time with ultra-low (near real time) recovery point objective (RPO) granularity at the vApp level. Simplify disaster recovery (DR) for Veeam Cloud & Service Providers (VCSPs) by instantly failing over to the latest point in time. With CDP to vCD through Veeam Cloud Connect, service providers can replicate tenants’ vCD resources between production and DR vCD servers. Protecting Your Mission Critical Workloads with VMWare and Veeam Wondering where to begin when building a zero-trust IT architecture for your organization? Join executives from VMware + Veeam as they discuss how our solutions can jointly protect your virtualized workloads wherever they’re deployed. We partnered with VMware to provide our customers with reliable, efficient and secure data protection. Our partnership combines VMware's virtualization expertise with our leading data protection capabilities to offer advanced solutions for modern data centers. How does Veeam’s partnership with VMware benefit our customers? Our partnership with VMware allows customers to leverage a unified solution for data protection. Customers can enjoy enhanced data security, simplified data management, improved operational efficiency and faster recovery times in case of data loss or disaster. How do Veeam's solutions integrate with VMware? Our solutions were purpose-built for VMware. They integrate deeply with VMware technologies by providing efficient backup, replication and recovery solutions for VMware-based environments. This integration makes it easy for VMware administrators to manage and protect their data. How does the partnership with VMware simplify data recovery processes? By working closely with VMware, we have optimized our solutions for fast and reliable data recovery. We provide tools that allow for easy and quick data recovery, no matter where it resides. Radical Resilience is Our Difference With Veeam by your side, you have the flexibility you want for today’s hybrid cloud and the confidence you need for long-term success. Learn the Latest Trends in Data Protection Our 5th annual report summarizing data protection strategies
Last revised: September 19, 2023 - Through Your use of the Website, including collection via cookies and other automated data collection technologies. - Through Your use of Our Services. - Through Your communications and other interactions with Us, such as emails. - Through Your completion of a web form hosted by a third party on Our behalf. - From a third-party advertiser, such as Facebook, Google, or Bing. "Personal Information" means any information that identifies or relates to an individual or can be used in conjunction with other information to identify an individual, whether such information is explicitly regulated by applicable law or otherwise. 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Official website of the State of California SB 1383 requires California counties and each city, regional agency, and special district that provides solid waste collection services within each county, to plan for adequate capacity for recycling organic waste. CalRecycle is providing this optional calculator to assist jurisdictions with this organics recycling planning requirement. This guidance tool was developed by CalRecycle as a courtesy for informational and example purposes only. Use of this tool is optional and is not a regulatory requirement. In the event of any conflict with this guidance tool or information herein, applicable statutory and regulatory provisions shall control. This tool and information herein are based on known facts and legal authority as understood by CalRecycle at the time of release. Any analysis, guidance, or other information herein may be subject to change based on changed facts or legal authority, actual or understood, subsequent to the time of this communication. The provision of this guidance tool and any analysis, guidance, or other information herein shall not be construed as a waiver of any rights or remedies available to CalRecycle. Recipients of this communication are encouraged to seek the assistance of legal counsel to comply with applicable state law based on their pertinent facts and circumstances. CalRecycle makes no representation that use of this tool will ensure compliance with regulatory requirements. The user assumes all risk and CalRecycle accepts no responsibility or liability to any person because of the use of, or reliance upon, this tool or the information herein. Each county is responsible for leading this collaborative effort among all cities, regional agencies, and special districts that provide solid waste collection services within the county. Please note that the calculator contains ToolTips ( ) with definitions, user input instructions, and additional guidance about the origin of predefined or calculated data. Select the ToolTip and a small graphic will appear with more information. Fields in each step that require an entry to calculate data in related steps are noted with a red asterisk (*). Please note that this calculator does not save any of the data that is entered. To save a record, of your data please use the "export to excel" button located at the bottom of the calculator after completion. This webpage has an “idle timer" that is set for 120 minutes during which the webpage caches temporary data. After this initial 120 minute period, any further period of inactivity exceeding 15 minutes (e.g. not making any changes to records in Step E, or Step F, or Step G during the additional 15 minute timeframe) may result in a loss of all data entries and/or an inconsistent Excel export. Therefore, after this webpage has been open for 120 minutes, users may experience some issues in displaying or exporting data, if not continuously updating information within every 15 minutes, and may choose to refresh the webpage prior to the start of data entry to maximize the initial timeframe available. Enter the year of the reporting requirement in which the capacity planning report is due. The planning period will automatically load in the “Period Covered” box. Select your jurisdiction or input a special district that collects solid waste name in the “Other Area” field. Enter the population of the current year and the estimated population of the jurisdiction or district at the end of the planning period, and then press the “Search” button. The next calculation steps will then appear below in Steps C through H. Press the “Search” button and further calculation steps will appear below. Press the “Use Defaults” button (above and to the right of this text) to load default WCS data into Step E. If disposal data is available the data will load, otherwise update or enter the jurisdiction’s estimated landfill/transformation/EMSW disposal tons for the year. Please note the fourth quarter RDRS disposal data is not due to CalRecycle until late March. Therefore, a full year of disposal data will not display in this capacity calculator until late-Spring. Note: The calculator does not contain default population or disposal data for special districts. This data is not available as Department of Finance (DOF) does not report population data for the districts, and RDRS does not contain disposal data for the district. Special districts that provide solid waste collection services should work with the city or unincorporated county they are located within to determine the proper data to use for capacity planning. Note: Regional Agencies and/or Regional Agency members may not display complete disposal data for all members depending on how the data is reported in RDRS. Therefore, when calculating capacity needs for Regional Agencies or their member jurisdictions, users should review data for each of the members, and the Regional Agency itself, to determine the accuracy of the disposal data that uploads into this calculator. Questions about the proper disposal data to use should be directed to contacts for the Regional Agency contacts or LAMD representative, or [email protected] for member-specific data if it is available. The per capita disposal rate will be calculated based upon the total population entered in Step B, (this per capita rate may differ from what a user may see in their EAR per capita rate disposal calendar depending on the amount of Green ADC disposed by the jurisdiction). If your jurisdiction has additional organic ADC, AIC, and/or beneficial use at the landfill, or disposed biosolids and/or digestate from a local wastewater treatment plan, you may input those tons into the appropriate fields. Using the projected population entered in Step B, and applying the per capita disposal rate calculated in Step C, an estimate of future projected disposal tons total will be calculated. This step allows users to input specific percentages of different organic materials, or use the statewide WCS data (by pressing the “Use Defaults” button) to calculate an estimate of each type of organic material, and the total amount of organic material, in the disposal stream. There is also an option for users to choose a “Primary Facility Activity Type” to indicate the likely pathway each material may take, which will total, by facility type, in the fields beneath the WCS Materials table. Selecting facility types is an optional step and descriptions of the facility types are included as Tool Tips for reference in the fields below the table where the totals by facility type are displayed. Changes made in the WCS Materials table will calculate a percentage of organics in the future disposal stream, and calculate the total amount of organic material in the disposal stream at the end of Step E. This step allows users to input specific facilities to which they may take organic materials. For each facility type, a user may select facilities/sites that report in RDRS or input information for facilities/sites that may not report in RDRS. For each facility type, in the “Enter records in RDRS” tables, after pressing the “+ Add new record” button, a user should select any county where a facility they will utilize is located. The facility names in the next column will be limited to the county selected, and after selecting a facility name from the dropdown menu, the address and RDRS Number will display. Please note that the dropdown menu will include all reporting entities in the selected county that report in RDRS, regardless of the type of facility/site or activities. Some sites or facilities may consist of multiple reporting entities at the same location based on their activities. Users can then enter the Predicted Annual Tons per Year (TPY) they intend to take to the facility and indicate if the capacity available for those tons is verified capacity or unverified capacity. Verified capacity and unverified capacity will be totaled at the end of the calculator in Step H. Facility TPY that is “unverified” will be noted as “false” and “verified” TPY will appear as “true” after the box is checked. User can input information for facilities/sites to indicate changes in new or expanded organics capacity. Users press the “+ Add new record” button and type in specific information for the new or expanded facility/site they intend to use. Based upon data entered in previous steps, this step will calculate: Data will not appear in these fields if no “verified” or “unverified” predicted annual TPY have been selected in Step F or G. Note: As data was aggregated throughout the calculator, rounding issues may produce estimated totals that are not exact. Note: None of the information in this calculator can be saved. If you'd like a record of your input please use the "Export to Excel" button and save the file to your own system.
Marketing information are data-driven information about the buyer experience and just how your company piles up against rivals. They allow marketers to understand all their customers’ needs, stay prior to the competition, and increase earnings by building a more personalized customer experience that results in brand dedication and closed product sales. Market observations look at the problem and highlight industry developments, changes in consumer behavior, and also other environmental factors that could result your marketing strategies. They can be determined from sources like cultural media analytics, rival analysis tools, concentration groups, studies, and site traffic. The best advertising insights will be actionable and could be applied to the existing approaches. They help you uncover breaks and chances that can be tackled to improve performance. They also present clear route on which parts of your business need to change, permitting one to implement approaches that transform your life bottom line. For example , if your company’s marketing campaigns aren’t generating enough leads, you may want to https://www.syedmarketingblog.com/scalping-strategies-in-cryptocurrency-markets-which-one-are-you-good-at/ modify your content technique or give attention to paid advertising to push more competent traffic. Or perhaps, if your buyers are going on about a certain aspect of your merchandise, you might operate an educational campaign that shows these people how to use it more effectively. To have the most out of your marketing insights, you need three things: Access to the data you need to evaluate, software which enables sense within the data, and humans along with the ability to see the main story in the numbers. The best marketers control marketing insight across the complete organization to foster a culture of information democratization and continuous improvement.
About This Program Generative AI Unplugged is an onsite meetup and will be held at the Wizeline Guadalajara offices. During the meetup, you’ll have the opportunity to engage with AI enthusiasts and experts, participate in fascinating discussions, and connect with like-minded individuals passionate about the future of AI. Our agenda includes two captivating lightning talks followed by a stimulating panel discussion, where we’ll delve into the fascinating world of Generative AI. In addition to the engaging sessions, the event offers an excellent networking opportunity. Connect with professionals from diverse backgrounds, including AI practitioners, tech industry leaders, entrepreneurs, researchers, and more. Share your ideas, exchange insights, and foster collaborations that could shape the future of AI. We are thrilled to host this event at our Guadalajara’s Wizeline offices, providing a vibrant and inspiring environment for this unique event. Don’t miss this chance to be part of an immersive experience that will expand your understanding of Generative AI and its potential impact on various industries. Reserve your spot today and embark on a knowledge, connection, and innovation journey! Who should take this course? The AI Academy Meetup is a must-attend event for individuals from diverse backgrounds who are interested in Generative AI and its applications. This event caters to a wide range of professionals, including: - Generative AI enthusiasts. - Software Engineers exploring AI integration into embedded systems and practical applications. - AI/Machine Learning Practitioners with deep learning, computer vision, NLP, or predictive analytics expertise. - Tech industry employees seeking insights into AI integration in embedded IoT for intelligent data processing. - Startups and Entrepreneurs looking to develop innovative products, expand ventures, or seek partnerships. - Academics and Researchers staying updated on the latest advancements and research in embedded AI.
Zoomtopia is here. Unlock the transformative power of generative AI, helping you connect, collaborate, and Work Happy with AI Companion. Register nowEmpowering you to increase productivity, improve team effectiveness, and enhance skills. Zoom AI CompanionUser groups are unique spaces where community members can collaborate, network, and exchange knowledge on similar interests and expertise. Help & Resources is your place to discover helpful Zoom support resources, browse Zoom Community how-to documentation, and stay updated on community announcements. The Events page is your destination for upcoming webinars, platform training sessions, targeted user events, and more. Stay updated on opportunities to enhance your skills and connect with fellow Zoom users. I am having issues with a user in my company, when she shares her screen, additional boxes (folders or software) don't show, instead there are black boxes. i tried comparing configurations on the "Share Screen" sector under Settings with another user who does not have this problem and it did not help. did anyone else have this problem?
Know everything about what is cyber security What is Cyber Security? – The technique of protecting computers, servers, mobile devices, electronic systems, networks, and data from hostile intrusions is known as cyber security. It’s also known as electronic information security or information technology security. The phrase is used in a range of contexts, ranging from business to mobile computing, and it may be broken down into a few categories. - The practice of guarding a computer network from intruders, whether targeted attackers or opportunistic malware, is known as network security. - Application security is concerned with ensuring that software and devices are free of dangers. A hacked application could allow access to the data it was supposed to secure. Security starts throughout the design phase, long before a programe or device is deployed. - Data integrity and privacy are protected by information security, both in storage and in transport. - The processes and decisions for handling and securing data assets are included in operational security. The protocols that dictate how and where data may be kept or exchanged, as well as the permissions users have while accessing a network, all fall under this umbrella. - Disaster recovery and business continuity are terms that describe how a company reacts in the case of a cyber-security breach or any other catastrophe that results in the loss of operations or data. Disaster recovery policies define how an organisation returns operations and information to the same operational capabilities as before the disaster. Business continuity is the plan that an organisation uses when it is unable to operate due to a lack of resources. - End-user education focuses on the most unpredictable aspect of cyber-security: people. By failing to follow appropriate security measures, anyone can unintentionally introduce a virus into an otherwise protected system. It is critical for every organization’s security to teach users to delete suspicious email attachments, not plug in unrecognised USB drives, and a variety of other key teachings. The Scale of the Cyber Threat The worldwide cyber threat is rapidly evolving, with an increasing number of data breaches each year. According to a survey released by RiskBased Security, data breaches exposed 7.9 billion records in the first nine months of 2019. This is more than double (112%) the amount of records disclosed in the same time period last year. The most breaches occurred in medical services, retail, and government entities, with malevolent criminals being accountable for the majority of occurrences. Because they collect financial and medical data, some of these industries are particularly appealing to cybercriminals, but any organisation that uses networks might be targeted for customer data, corporate espionage, or customer attacks. The International Data Corporation projects that global spending on cyber-security solutions will reach a whopping $133.7 billion by 2022, as the scope of the cyber threat continues to grow. Governments all over the world have issued recommendations to help businesses develop strong cyber-security policies in response to the growing cyber threat. The National Institute of Standards and Technology (NIST) in the United States has developed a cyber-security architecture. The framework promotes constant, real-time monitoring of all electronic resources to counteract the spread of harmful malware and aid in early identification. The necessity of system monitoring is emphasised in the UK government’s National Cyber Security Centre’s “10 stages to cyber security” guidelines. The Australian Cyber Security Centre (ACSC) releases guidelines on how enterprises can combat the latest cyber-security threats on a regular basis in Australia. Types of Cyber Threats The threats countered by cyber-security are three-fold: - Cybercrime refers to individuals or groups who attack systems for monetary gain or to cause disruption. - Politically motivated information collection is common in cyber-attacks. - The goal of cyberterrorism is to generate panic or dread by undermining electronic systems. So, how do bad guys obtain access to computer systems? Here are some of the most typical ways that cyber-security is jeopardised: Malware is a term that refers to malicious software. Malware is software designed by a cybercriminal or hacker to disrupt or damage a legitimate user’s computer. It is one of the most common cyber dangers. Malware, which is commonly sent by an unsolicited email attachment or a legitimate-looking download, can be used by cybercriminals to gain money or in politically motivated cyber-attacks. Malware comes in a variety of shapes and sizes, including: - Virus: A self-replicating programme that infects files with harmful code after attaching itself to a clean file and spreading throughout a computer system. - Trojans are a type of malware that masquerades as genuine software. Users are duped into downloading Trojans onto their computers, which then inflict damage or collect data. - Spyware is a type of software that secretly records what a user does so that hackers can profit from it. Spyware, for example, could record credit card information. - Ransomware is a type of malware that encrypts a user’s files and data and threatens to delete them unless a ransom is paid. - Adware is a type of advertising software that can be used to distribute malware. - Botnets are malware-infected computer networks that hackers employ to conduct tasks online without the user’s consent. Injection of SQL An SQL (structured language query) injection is a type of cyber-attack that allows a hacker to take control of a database and steal information from it. Using a malicious SQL query, cybercriminals exploit vulnerabilities in data-driven systems to instal malicious code into a database. This provides them with access to the database’s sensitive information. When fraudsters send emails that look to be from a reputable company and ask for sensitive information, this is known as phishing. Phishing attacks are frequently used to trick people into divulging personal information such as credit card numbers and passwords. A man-in-the-middle attack is a type of cyber threat in which a hacker intercepts communication between two people in order to obtain information. On an insecure WiFi network, for example, an attacker could intercept data passing between the victim’s device and the network. A denial-of-service attack occurs when thieves flood a computer system’s networks and servers with traffic, preventing it from fulfilling legitimate requests. This makes the system unworkable, prohibiting an organisation from doing essential tasks. Latest Cyber Threats What are the most recent cyber risks that individuals and businesses should be aware of? Here are some of the most current cyber threats reported by the governments of the United Kingdom, the United States, and Australia. The leader of an organised cyber-criminal group was charged in December 2019 by the US Department of Justice (DoJ) for his role in a global Dridex malware attack. This malevolent effort has a global impact on the general public, government, infrastructure, and industry. Dridex is a financial trojan that can do a lot of things. It has been infecting computers since 2014, infecting them through phishing emails or existing malware. It has caused enormous financial losses equivalent to hundreds of millions of dollars by stealing passwords, banking credentials, and personal data that can be used in fraudulent transactions. The National Cyber Security Centre of the United Kingdom encourages the public to “ensure devices are patched, anti-virus is turned on and up to date, and files are backed up” in reaction to the Dridex attacks. In February 2020, the FBI issued a warning to Americans about confidence fraud perpetrated by cybercriminals through dating sites, chat rooms, and apps. Victims are duped into handing out personal information by perpetrators who take advantage of those looking for new mates. According to the FBI, romance cyber threats affected 114 people in New Mexico in 2019, resulting in $1.6 million in damage. The Australian Cyber Security Centre issued a warning to national entities in late 2019 about a widespread global cyber threat posed by Emotet virus. Emotet is a complex trojan that has the ability to steal data as well as instal additional infections. Emotet thrives on simple passwords, which serves as a reminder of the significance of selecting a safe password to protect against cyber-attacks. Endpoint security, often known as end-user protection, is an important part of cyber security. After all, it’s common for an individual (the end-user) to unintentionally download malware or another type of cyber danger to their computer, laptop, or mobile device. So, how do end users and systems benefit from cyber-security measures? To begin, cryptographic protocols are used to encrypt emails, files, and other sensitive data. This safeguards information not just while it is in transit, but also against loss or theft. Furthermore, end-user security software analyses computers for harmful malware, quarantines it, and then deletes it from the system. Security software may even identify and delete dangerous malware hiding in the Master Boot Record (MBR), as well as encrypt or wipe data from the hard disc. Real-time malware detection is also a focus of electronic security protocols. To fight against viruses or Trojans that change their shape with each run, many people utilise heuristic and behavioural analysis to monitor the behaviour of a programme and its code (polymorphic and metamorphic malware). To evaluate their activity and learn how to better detect new infections, security programmes can isolate potentially harmful apps in a virtual bubble separate from the user’s network. As cyber-security specialists find new dangers and strategies to counteract them, security programmes continue to evolve new defences. Employees must be trained on how to utilise end-user security software in order to get the most out of it. Importantly, keeping it up to date and functioning guarantees that it can defend users from the latest cyber dangers. Cyber Safety Tips – Protect Yourself Against Cyberattacks - How can organisations and individuals protect themselves from cyber-threats? Here are some of our best cyber-security recommendations: - Update your software and operating system: This ensures that you have the most up-to-date security updates. - Use anti-virus software: Anti-virus software, such as Kaspersky Total Security, can detect and eradicate threats. For the highest level of security, keep your software up to date. - Use strong passwords: Make sure your passwords are difficult to guess. - Never open email attachments from unknown senders since they may contain viruses. - Do not click on links in emails from unknown senders or strange websites: Malware is sometimes propagated by clicking on links in emails from unknown senders or unfamiliar websites. - Don’t use public WiFi networks that aren’t secure: These networks are vulnerable to man-in-the-middle attacks.
Leading election results provider Decision Desk HQ (DDHQ) is pleased to announce that award-winning data journalist and computational journalism lecturer Derek Willis is joining its advisory board. For the past three years, Derek has worked with DDHQ as the author of our weekly “Your Election Spotlight” newsletter (230,000 subscribers) while lecturing on data and computational journalism at the University of Maryland’s Philip Merrill College of Journalism. Previously, Derek spent 25 years at the forefront of data journalism for ProPublica, the New York Times, the Washington Post, the Center for Public Integrity, Congressional Quarterly, and the Palm Beach Post, winning awards from the Knight Foundation and top journalism associations for his work while also lecturing at Georgetown University, George Washington University, American University and Northwestern University, among others. “Derek has been a trusted advisor to DDHQ and played a critical role in building our audience for the past three years, so we’re grateful that we’ll continue to benefit from his expertise in presenting our data accurately in clear, compelling ways,” said Decision Desk HQ Chief Data Scientist Scott Tranter. “With the board we’ve got, we couldn’t be better advised heading into the most politically and technologically fraught election in modern US history.” Derek joins DDHQ’s four sitting Advisory Board members: - Jon Cohen, Founder and CEO of Truedot.ai, the professional-grade data collection platform; former Chief Research Officer and SVP of Strategic Partnerships at SurveyMonkey; and the first Vice President of Research at the Pew Research Center and Director of Polling for The Washington Post. - Katie Harbath, Chief Global Affairs Officer at Duco; former Director of Public Policy for Global Elections at Facebook; former senior digital strategist at the Republican National Committee and the National Republican Senatorial Committee; author of Substack newsletter Anchor Change; and host of podcast Impossible Tradeoffs. - Molly Levinson, widely recognized as one of the top advisors in crisis and issues management and litigation support communications in the United States; founder and CEO of top issues management advisory The Levinson Group (TLG); and Emmy-award winning former producer and Political Director at CNN and CBS. - Elizabeth Wilner, Head of Polling & Insights at AI company and ChatGPT creator OpenAI; previously Director of Corporate & Policy Communications at Airbnb; Political Director of NBC News; and Managing Editor of The Cook Political Report (now The Cook Political Report with Amy Walter). About Decision Desk HQ Decision Desk HQ is a leading provider of real-time election results, race calls, and related data, and the only provider to cover US elections from the presidency and Congress to the county and city level. Launched in 2012 on a hunch that we could use technology to improve the speed and lower the cost of collecting election returns, we were first to call the presidency for Donald Trump in 2016 and for Vice President Joe Biden in 2020. In 2022, we were first to call control of Congress and also covered 16,000 local races. We continue to innovate with new technologies to drive more efficient results reporting that prioritizes accuracy, supports local coverage, and strengthens trust in the democratic process.
What are POD files and how to open them Are you having problems opening a POD file or are you simply curious about its contents? We're here to explain the properties of these files and provide you with software that can open or handle your POD files. What is a POD file? POD files have multiple uses, and Plain Old Documentation format is one of them. Read more about the other uses further down the page. Plain Old Documentation format POD is an acronym for Plain Old Documentation. The .pod file extension is most commonly associated with the Perl programming language. These files contain text files that document the source code written in the Perl language. They are used to document publicly-released Perl modules and Perl manual pages. How to open POD files We have identified one POD opener that is compatible with this specific type of POD file. Programs that open Plain Old Documentation format files Perl Express \| Discontinued \| Last updated: January 25, 2025 All known file formats using extension .POD While Plain Old Documentation format is a popular type of POD-file, we know of 5 different uses of the .POD file extension. Different software may use files with the same extension for different types of data. These files contain project data created with OpenProj, an open-source project management software. OpenProj is a free alternative to Microsoft Project and offers many similar features, like task scheduling, deadlines, person assignments, etc. POD opener for Windows We have identified 2 POD openers that are compatible with this specific type of POD file. Disney Games Game Data Archive We know that one POD format is Disney Games Game Data Archive. We have not yet analyzed in detail what these files contain and what they are used for. We're working on it. While we have not verified the apps ourselves yet, our users have suggested six different POD openers which you will find listed below. Pico-8 POD Data Archive We know that one POD format is Pico-8 POD Data Archive. We have not yet analyzed in detail what these files contain and what they are used for. We're working on it. Punch!CAD Object Description We know that one POD format is Punch!CAD Object Description. We have not yet analyzed in detail what these files contain and what they are used for. We're working on it. Various apps that use files with this extension These apps are known to open certain types of POD files. Remember, different programs may use POD files for different purposes, so you may need to try out a few of them to be able to open your specific file. Help us help others File.org helps thousands of users every day, and we would love to hear from you if you have additional information about POD file formats, example files, or compatible programs. Please use the links below or email us at [email protected] to discuss further.
Databricks is a unified data management and analytics platform built by the creators of Apache Spark. It provides a collaborative environment for data scientists, engineers, and business analysts to work together. This brief overview will walk you through the basics of Databricks. Databricks is a cloud-based "as-a-Service" platform for data management and analytics powered by Apache Spark. It enables organizations to deploy scalable, high-performance analytics workloads against large-scale datasets in their cloud environments. Databricks also supports multiple languages (SQL, Python, R, Scala, and Java), interactive notebooks and collaborative features, job scheduling, and more. The Databricks platform supports batch and stream processing and analytics, integrating with various data sources and formats. The Databricks architecture consists of two main components: the Control Plane and the Data Plane. The user interfaces and APIs are located in the Control Plane. It's where users write code in notebooks, manage clusters, and schedule jobs. The Control Plane does not handle customer data directly. The Data Plane - deployed in the customer's cloud environment and managed by the Control Plane - is where compute clusters (Apache Spark clusters) and storage resources are located. Spark jobs run in the Data Plane to process a customer's data. This architecture enables a clear separation of responsibilities and increases overall system security. By keeping customer data within the Data Plane, Databricks ensures that sensitive information remains in the customer's environment and control. Databricks supports a multi-cloud architecture, allowing customers to choose between AWS, Azure, and Google Cloud as their preferred environment for the Data Plane. Databricks allows you to create Spark clusters required to execute notebook code. Clusters can be Job Clusters used mainly for non-interactive or scheduled workloads, or All Purpose Clusters which are mainly used for ad-hoc, interactive analysis operations. All-Purpose Clusters are shared clusters that multiple users can run commands on simultaneously. The Databricks Control Plane provides cluster automation, scaling, and collaboration capabilities. Workspaces and Notebooks The Workspace is a personalized space where users can create notebooks, import libraries, and run jobs. Notebooks are documents combining code execution, visualizations, and narrative. They support Python, R, Scala, and SQL. Databricks notebooks are similar to popular notebook environments such as Jupyter Notebooks and Apache Zeppelin Notebooks. Databricks File System (DBFS) DBFS is an abstraction layer on top of scalable object storage and offers the benefits of distributed storage without needing local file I/O. DBFS can be used as a source or target for jobs, and Databricks offers multiple utilities for working with DBFS. Delta Lake and Lakehouse Delta Lake is an open-source project providing ACID transactions, scalable metadata handling, and unifying streaming and batch data processing on top of your existing data lake. It brings reliability to data lakes, and it is fully compatible with Apache Spark APIs. A Lakehouse is a new kind of data management paradigm combining the benefits of data warehouses and data lakes. It provides a data warehouse's reliability, performance, and transactional capabilities with schema-on-read flexibility and low-cost data lake storage. Delta Live Tables Delta Live Tables represent the state of a streaming dataset, views, or materialized views. Delta Live Tables provide improved data availability, quality, and reliability. The Medallion Architecture is a methodology for organizing data in your data lake. This is not a new concept; it has been around for a while in the field of data engineering. The names for the layers might differ (like Raw, Clean, and Refined etc), but the concept remains the same. It provides a guideline to systematically organize the data transformation process, with a clear separation between stages. The Medallion Architecture is named after the 'bronze', 'silver', and 'gold' stages of refining raw material. Bronze tables, also known as raw tables, store the raw data ingested from various sources. This data is in its original form and hasn't undergone any transformation or cleaning. Silver tables contain cleansed and enriched data. This results from applying transformations, such as deduplication and schema normalization, to the bronze data. Gold tables hold business-level aggregates often used for reporting and dashboarding. This might be like daily active users or revenue by geography and product. This architecture aims to separate data processing into logical layers and allow different teams to work on each layer independently. The Databricks Lakehouse is designed to support this methodology. if you have enjoyed this post, please consider buying me a coffee ☕ to help me keep writing!
HMCDA Stock Calculator Please note, the result does not take brokerage fees/FX and additional contributions such as further investments or dividend reinvestments into account. Past performance is not a reliable indicator of future performance. The value of your investments can go down as well as up and you may receive back less than your original investment. As always, do your own research and consider seeking appropriate financial advice before investing. Never feel out of the loop Get free market insights and stock deep dives delivered straight to your inbox, twice a week, every week.More from the Stake desk Historical stock calculator FAQs The calculator uses historical data to simulate an investment’s performance over a set period. It can be a helpful tool to understand how market trends impact certain stocks and industries by looking back. The stock calculator calculates the potential returns of an investment in the selected stock if the user had invested the chosen amount of money over the set period of time. The data is calculated from the current month and every instance of that month during the timeframe of years selected (for Wall St the data available goes back to the IPO of the company and for the ASX the data goes back until 1999). To determine what the investment would be worth today, the calculation is as follows: Percentage change = (Value for that year - Starting value) / Starting value Please note, the result does not take brokerage fees/FX and additional contributions such as further investments or dividend reinvestments into account.
Risk Disclosure: Trading in financial instruments and/or cryptocurrencies involves high risks including the risk of losing some, or all, of your investment amount, and may not be suitable for all investors. Prices of cryptocurrencies are extremely volatile and may be affected by external factors such as financial, regulatory or political events. Trading on margin increases the financial risks. Before deciding to trade in financial instrument or cryptocurrencies you should be fully informed of the risks and costs associated with trading the financial markets, carefully consider your investment objectives, level of experience, and risk appetite, and seek professional advice where needed. Fusion Media would like to remind you that the data contained in this website is not necessarily real-time nor accurate. The data and prices on the website are not necessarily provided by any market or exchange, but may be provided by market makers, and so prices may not be accurate and may differ from the actual price at any given market, meaning prices are indicative and not appropriate for trading purposes. Fusion Media and any provider of the data contained in this website will not accept liability for any loss or damage as a result of your trading, or your reliance on the information contained within this website. It is prohibited to use, store, reproduce, display, modify, transmit or distribute the data contained in this website without the explicit prior written permission of Fusion Media and/or the data provider. All intellectual property rights are reserved by the providers and/or the exchange providing the data contained in this website. Fusion Media may be compensated by the advertisers that appear on the website, based on your interaction with the advertisements or advertisers. © 2007-2025 - Fusion Media Limited. All Rights Reserved.
Sr. Risk Analyst John Hancock Manulife Are you looking for a supportive and collaborative workplace with great benefits and clear career development? You’ve come to the right place. Why choose Manulife? Competitive Salary packages and performance bonuses Day 1 HMO + FREE coverage for your dependents (inclusive of same-sex partners) Retirement savings benefit Rewarding culture that values wellness and well-being Global network of industry experts Extensive training resources The Sr. Analyst, Global Archer Services will report to the Director, Global Archer Services in Global Risk Intelligence and Technology (GRIT) function, supporting the Canada Segment Operational Risk Management team. The role will be responsible for delivering various functional capabilities including but not limited to analytics, reporting, end-user support, control and risk documentation, process documentation, Archer Support, and other related risk management activities, as well as supporting the development and execution of the relevant roadmaps and plans for the function. Monitor and report on data quality within the Archer system. Assist with automating data ingestion processes and maintaining data integrity. Prepare quarterly reports and manage records according to company policies and regulatory requirements. Conduct regular access security reviews to ensure proper access controls. Document processes, procedures, project work, and handle ad hoc requests. Support the Risk and Technology Tooling team with data-related tasks, including analysis, clean-up, validation, and report/dashboard maintenance. Identify opportunities to improve efficiencies within the Global Archer Services framework. Assist in testing, cleaning, and preparing data for Archer upload. Provide annual business process support by reviewing processes with owners. Around three to five years of experience in Middle Office Operations and Performance Analysis. Experience with the Archer platform, including data management and reporting. Knowledge in basic configuration and ability to upload data into Archer Knowledgeable in financial services, insurance, and operational risk management. Familiarity with business continuity planning, third-party risk management, and compliance processes. Strong reporting skills, with attention to detail and the ability to work under tight deadlines, ensuring precise and accurate financial risk analysis. Highly organized individual with strong time management and organizational skills. Self-starter with the ability to work independently in a fast-paced environment. Excellent collaborative and relationship building skills; showing tact and diplomacy in dealing with others. Familiarity with IT systems and risk management frameworks. Ability to learn quickly and be comfortable adjusting to ad-hoc changes in workflow. Let's make every day better together. Learn about our opportunities at JOBS.MANULIFE.COM About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html. Manulife is an Equal Opportunity Employer At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].
When you offer us your information we will treat you exactly the way we expect to be treated when we share our information with someone. —— The Legal Stuff —— Who we are Our website address is: https://krilloilcaptain.com. What personal data we collect When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection. If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. Visitors to the website can download and extract any location data from images on the website. Third Party Advertising & Cookies If you leave a comment on our site you may opt-in to save your name, email address and website in cookies. These are for your convenience so that you do not have to fill in your details again when you leave another comment. These cookies will last for one year. Some ads appearing on this website are delivered by our Web advertising partners. In the course of serving advertisements to this site, our third-party ad server, or individual advertisers may place or recognize a unique “cookie” on your browser. Information about your visit to this site, such as the number of times you have viewed an ad (but not your name, address, or other personally identifiable information), may be used to serve ads to you on this and other sites. These companies may use information (not including your name, address, email address or telephone number) about your visits to this and other websites in order to provide advertisements on this site and other sites about goods and services that may be of interest to you. If you have an account and you log in to this site, we will set a temporary cookie to determine if your browser accepts cookies. This cookie contains no personal data and is discarded when you close your browser. When you log in, we will also set up several cookies to save your login information and your screen display choices. Login cookies last for two days, and screen options cookies last for a year. If you select “Remember Me”, your login will persist for two weeks. If you log out of your account, the login cookies will be removed. If you edit or publish an article, an additional cookie will be saved in your browser. This cookie includes no personal data and simply indicates the post ID of the article you just edited. It expires after 1 day. Embedded content from other websites Articles on this site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website. Who we share your data with We share your data with Google.com, Facebook.com, Amazon.com and CaptainsKrillOil.com. How long we retain your data If you leave a comment, the comment and its metadata are retained indefinitely. This is so we can recognize and approve any follow-up comments automatically instead of holding them in a moderation queue. For users that register on our website (if any), we also store the personal information they provide in their user profile. All users can see, edit, or delete their personal information at any time (except they cannot change their username). Website administrators can also see and edit that information. What rights you have over your data If you have an account on this site, or have left comments, you can request to receive an exported file of the personal data we hold about you, including any data you have provided to us. You can also request that we erase any personal data we hold about you. This does not include any data we are obliged to keep for administrative, legal, or security purposes. Where we send your data Visitor comments may be checked through an automated spam detection service. Your contact information You may contact us at any time here. How we protect your data We use 256-bit SSL connection at all times. What data breach procedures we have in place Any data breach would be immediately announced via this website, our facebook page and an email sent directly to any affected individuals. What third parties we receive data from We receive data from Google.com, Facebook.com, Amazon.com and CaptainsKrillOil.com. What automated decision making and/or profiling we do with user data Based on algorithms, we may: - show you different page versions. - show you ads on other websites. - or follow-up with you via ads, email or browser notification.
Rest in peace, Trackpoint. We barely needed ye. Although a pointing stick — which is apparently the brand-agnostic name for the Trackpoint — was popular on laptops in the late 1990s and early 2000s, the only company to carry the tradition forward has been Lenovo. You’ll find the iconic red Trackpoint on just about every ThinkPad laptop available, but Lenovo is doing away with the design at CES 2025 with its new ThinkPad X9. The Trackpoint is, in 2025, not very useful. Lenovo tells me that the change is to signal a modern approach to the ThinkPad range, the roots of which go way back, to when ThinkPads were branded with an IBM logo. Just a few months back, we looked at the Lenovo ThinkPad X1 2-in-1, which still had the Trackpoint. Now, it’s gone, and seemingly gone for good. Externally, Lenovo is using an OLED display across both the 14-inch and 15-inch model, and both use a haptic touchpad along with the well-known (and loved) ThinkPad keyboard. Under the hood, Lenovo says the laptop is serviceable by removing the bottom covering, allowing you to replace the SSD and battery if you need. And, of course, you can’t have a laptop released in 2025 without a little dose of AI. It’s called Lenovo AI Now, and the company describes the feature as an “advanced on-device AI assistant that brings powerful, real-time intelligence to users.” It’s similar to something like Nvidia’s Chat RTX, as it uses a large language model (LLM) to provide a chatbot that only knows about your local files. Lenovo built the assistant with Llama 3.0, so hopefully it will work well.
TORONTO — Equifax Inc. is launching a program to allow newcomers to transfer their foreign credit history to Canada. The credit reporting company said Thursday that the Global Consumer Credit File will make it easier for immigrants to access services like loans and cellphone plans in Canada by providing the additional data. “It’s really important when newcomers land that they get access to the financial services ecosystem, and without credit history that’s very difficult to do,” said Sue Hutchison, head of Equifax Canada. “They’re typically looking to, you know, rent an apartment, get a mobile phone, probably a credit card, and all of those things require credit history. So not having it makes it very difficult for newcomers.” Equifax isn’t the first to launch such a program in Canada. San Francisco-based Nova Credit, which launched in 2016 to provide global credit score access, expanded into Canada last year in a partnership with Scotiabank. The company has since expanded with partnerships at RBC, BMO and Rogers Communications Inc., among others. Nova Credit partners with several credit bureaus, including Equifax, to provide data from more than 20 countries. With Equifax becoming a competitor in the space, Hutchison said conversations are underway around data access going forward. Equifax, which has operations or investment in 24 countries, will have the advantage of being the direct provider of data from its foreign bureaus, said Hutchison. “It’s going be coming directly from us. So that’s, I think, very attractive to the lenders themselves that they’ll be dealing directly with the credit bureau.” The program will initially provide data from India, but the plan is to extend it to Brazil, Argentina and Chile over the coming months. Longer-term, it plans to include 18 countries in total. Equifax will use both the data from its own operations and source from other bureaus to provide the data. Because countries have different ways of creating credit scores, Equifax plans to provide lenders a Canadian score, a global score and a calibrated blend of both. The program comes as Canada has seen elevated immigration in recent years, while Hutchison said Equifax’s now cloud-based platform also makes it easier to share the data securely. This report by The Canadian Press was first published Oct. 24, 2024. Ian Bickis, T. C. P. (2024, October 24). Equifax launches Foreign Credit Score Sourcing Program for newcomers. BNN Bloomberg. https://www.bnnbloomberg.ca/business/company-news/2024/10/24/equifax-launches-foreign-credit-score-sourcing-program-for-newcomers
Get 50% OFF This Monsoon! Historical Prices Data shows how a stock has performed in the past, including its price changes and trading volumes. These Historical Prices Data helps investors understand the stock's past behavior and what factors might have influenced its price movements. By looking at Historical Prices, investors can get insights into market trends, analyze the data, and find connections between different factors. Stay updated on a stock's performance by checking the Historical Prices on the Trade Brains Portal regularly, whether it's daily, weekly, or monthly updates. Tata Consultancy Services What is Historical Prices Data? Historical Prices provides information about a stock's past performance, including its price movements and trading volumes over specific periods. This data includes information about the opening, closing, high, and low prices for each trading session during the designated time frame. The benefits of historical price data in stock trading are : • Stock Analysis: Traders use historical price data to analyze past Stock trends and patterns, helping them make informed decisions about future price movements. • Technical Analysis: Historical price data forms the basis of technical analysis, where traders use chart patterns, indicators, and statistical tools to identify potential trading opportunities based on past price behavior. • Strategy Development: By studying historical price data, traders can develop and backtest trading strategies to determine their effectiveness in different market conditions. • Risk Management: Understanding past price movements allows traders to assess the potential risks associated with a particular trade or investment, helping them implement risk management strategies to protect their capital. • Predictive Modeling: Some traders and analysts use historical price data to build predictive models and algorithms that forecast future price movements with a certain degree of accuracy. Historical Prices provides information about a stock's past performance, including its price movements and trading volumes over specific periods. Historical Prices of stocks helps investors understand how a stock has performed in the past. It offers insights into market trends, analysis, and correlations, which can aid in making informed investment decisions. Historical Prices data is often available on financial websites, stock market platforms, or through specialized data providers. Trade Brains Portal is one such platform where you can access Historical Prices data. Investors use Historical Prices data to analyze past performance, identify patterns or trends, and forecast potential future price movements. It also helps in determining a company's valuation and growth potential. Historical Prices data of stocks can be available for various time frames, including daily, weekly, monthly, quarterly, or yearly intervals, depending on the source and platform. While Historical Prices data can offer valuable insights, it's important to remember that past performance does not guarantee future results. Other factors, such as market conditions, economic indicators, and company news, also influence stock movements. Yes, Historical Prices data is commonly used in technical analysis to identify support and resistance levels, chart patterns, and indicators like moving averages or relative strength. Trade Brain Portal offer Historical Prices data of stocks for free. Download the App
Proton Mail has joined 23 other tech companies to endorse the Privacy for All Act of 2019(neues Fenster), which would give millions of people more control over their data. We want everyone to have access to online privacy and security. It’s why we created Proton Mail and Proton VPN(neues Fenster). But technological tools alone can’t get us there. We need legal frameworks that protect end-to-end encryption and prioritize privacy as a fundamental human right. In Europe, the General Data Protection Regulation(neues Fenster) (GDPR) is pushing back against surveillance-based business models and rampant personal data harvesting. By requiring encryption(neues Fenster) where feasible and forcing companies to legally justify data processing, the GDPR helps users take back control of the personal information they rightfully own. But privacy isn’t just a European value. In the United States, where privacy protections fall woefully short(neues Fenster) of modern standards, the California Consumer Privacy Act serves as a testbed for national legislation. The CCPA isn’t as strong as the GDPR, but it’s much better than nothing. Not every tech company agrees with us. While paying lip service to privacy, Google, Facebook, and Amazon have paid hundreds of thousands of dollars for lobbyists to undermine privacy laws(neues Fenster). One of the firms they sponsor has proposed a weaker federal law(neues Fenster) that would erase California’s progress by preempting state-level privacy regulations. While some companies are working against consumers, we have joined together with 23 other tech companies to support better privacy safeguards. On Tuesday, we sent a joint letter to the California State Assembly to support the Privacy for All Act of 2019. This amendment to the CCPA is intended to close loopholes and add protections missing from the original law. You can read more about what the Privacy for All Act does here(neues Fenster). Mass surveillance is not a business model that is good for society. Proton Mail and the other signatories of this letter stand as proof that what’s good for privacy and what’s good for tech companies are not mutually exclusive. We strongly support Privacy for All as another step toward online privacy for all Americans. April 16, 2019 Dear Assemblymember Chau, We are pleased to support A.B. 1760, sponsored by Assemblymember Buffy Wicks, as a vital addition to privacy protections in the state of California. We thank you for your commitment to the essential area of privacy, and your crucial role in the passage of the California Consumer Privacy Act (CCPA) last year. We are a broad coalition of for-profit companies that share that privacy commitment and support the CCPA. All of us have California customers and we are currently subject to CCPA’s requirements or may be subject to them in the foreseeable future. As companies that put user privacy at the core of our products and services, we also support legislation that builds on CCPA’s foundation. Our relationship with our users is built on trust—trust that the data they provide to us and other companies will be used only in the ways they understand and expect. A.B. 1760 holds all covered companies to that standard and makes sure that Californians’ information is protected by default. It will give all Californians the knowledge and power to truly control their personal information, as well as the ability to practically exercise and legally enforce their privacy rights, all without being punished with higher prices or degraded service. We appreciate and support your committee’s important efforts to provide all Californians with the privacy rights they want and deserve. Thank you again for your leadership on this important issue. Duck Duck Go, Inc. Gabriel Weinberg, Founder and CEO Brave Software Inc. (neues Fenster)Dr. Johnny Ryan, Chief Policy & Industry Relations Officer Casey Oppenheim, CEO Vivaldi Technologies LLC Tatsuki Tomita, Chief Operating Officer Istvan Lam, Co-Founder & CEO Richard Delgado, COO Fastmail Pty Ltd Bron Gondwana, CEO Fastmail US LLC Helen Horstmann-Allen, COO Christian Kroll, CEO & Founder Mycroft AI Inc. Eric Jurgeson, Vice-President Todd Weaver, CEO Discourse, aka Civilized Discourse Construction Kit, Inc. Jeff Atwood, CEO Shiny Frog Limited, aka Bear Matteo Rattotti, Founder Sgrouples, Inc. dba “MeWe” Mark Weinstein, Founder & CEO Frank Karlitschek, CEO Thomas Fauré, CEO Andrea Little Limbago, PhD Chief Social Scientist Tutao GmbH, aka Tutanota Matthias Pfau, Co-Founder Dr. Rand Hindi, PhD Co-Founder & CEO Bit Chute Limited Ray Vahey, Founder & CEO Mailr Tech LLP, aka Canary Mail Sohel Sanghani, CEO Conva Ventures Inc., aka Fathom Analytics Jack Ellis & Paul Jarvis, Directors Cliqz GmbH, aka Ghostery Jeremy Tillman, President We also provide a free VPN service(neues Fenster) to protect your privacy. Proton Mail and Proton VPN are funded by community contributions. If you would like to support our development efforts, you can upgrade to a paid plan. Thank you for your support.
Research IT provides research computing technologies, consulting, and community for the Berkeley campus. Our fundamental goal is to help campus faculty and students with their research by providing the best IT tools as inexpensively as possible. Research IT offers three core services to the campus. We provide research information technologies such as high performance computing (HPC), research data management, research application development, and data analysis tools. We offer consulting that ranges from grant proposal development, to data management plans, to strategic planning for campus services. Finally, Research IT works with campus centers, colleges, and other units to build collaborative communities of researchers and IT professionals. In short, Research IT’s mission is to be a trusted partner to the campus research community. Research IT works in close partnership with the Vice Chancellor for Research Office and other campus technology services units. CollectionSpace for Campus Museums Research IT deploys CollectionSpace for campus museums to manage their collections and carry out many of their other day-to-day business activities, and provides ongoing support for these systems. Research Data Management Service Research IT has partnered with the Library to develop Research Data Management (RDM) services for the UC Berkeley campus. These services address current and emerging data management issues, compliance with policy requirements imposed by funders and by the University, and reduction of risk associated with the challenges of data stewardship. Berkeley Research Computing/Analytics Environments on Demand Researchers need easy access to analytic computing environments that are designed to fit their needs. BRC's Analytics Environments on-Demand (AEoD) service is designed for researchers who need to run analytic software packages (such as ArcGIS, Stata, SPSS, R Studio, etc.) on a platform that is scaled up from a standard laptop or workstation, in a Windows-based environment. Cloud Computing Support The Berkeley Research Computing (BRC) Cloud Computing Support program offers consulting assistance, documentation, and tools to help faculty and other campus researchers obtain access to and effectively use cloud computing resources. High Performance Computing The BRC High Performance Computing service offers and supports access to the Savio Institutional/Condo Cluster, providing Berkeley's campus researchers with state-of-the-art, professionally-administered computing systems and ancillary infrastructure. Research IT offers consulting for UC Berkeley researchers. From identifying the best computing solution to working with sensitive data, Research IT consultants are poised at the intersection of research and technology and can help. We are here to help understand your needs, match you to appropriate resources, and help you get started using them. Our diverse team is made up of experts in both data and computing from a wide variety of domains.

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