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# DataRobot Blog
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[AI for Practitioners
Harnessing Synthetic Data for Model Training
September 28, 2023
· 5 min read
Synthetic data can replace or augment existing data and be used for training ML models, mitigating bias, and protecting sensitive or regulated data. Learn more.
Read More
[AI Partners
Introducing the Latest DataRobot Integrations with Google Cloud, Including a New Generative AI Initiative
September 21, 2023
· 4 min read
Discover how the renewed alliance between DataRobot and Google Cloud promises to reshape AI in enterprise, offering transformative tools for CIOs, CDOs, AI Builders, and AI Engineers. Dive into generative AI applications, BigQuery integrations, and more.
DataRobot AI Production: Unifying MLOps and LLMOps
September 14, 2023
· 7 min read
DataRobot unleashed an “all-in-one” generative AI and predictive AI platform where you can monitor and govern both enterprise-scale generative AI deployments side-by-side with predictive AI. Let’s dive into the details!
Improve Model Performance with DataRobot Sliced Insights
August 31, 2023
Model segmentation unveils hidden performance insights. DataRobot's Sliced Insights allows focused evaluation for better decisions.
[Announcements
Introducing the Latest Advancements in Our Platform and Ecosystem with Generative AI at DataRobot Summer Launch
August 24, 2023
Unlock Innovation with Our Summer Launch: Explore New Features, Integrations, and Possibilities in Predictive and Generative AI. From Cloud-Native Platforms to Seamless Ecosystem Integrations.
[Inside the Product
Introducing the Latest Advancements in AI Experimentation with Generative AI at DataRobot Summer Launch
August 16, 2023
· 3 min read
Redefining AI. Automate experimentation, unlock generative AI solutions, and integrate deep learning. Learn more.
Introducing the Latest Advancements in AI Consumption with Generative AI at DataRobot Summer Launch
August 14, 2023
Unveiling AI Transformation: Explore Generative AI Innovations at DataRobot Summer Launch. Join the Future of AI Consumption with Interactive Apps and Business Insights.
Summer ‘23 Launch Recap: Powering Generative and Predictive AI from Vision to Value
August 10, 2023
· 6 min read
Learn about our generative AI innovations that enterprises can use right now to accelerate, productionalize, and govern all AI projects.
DataRobot Joins the Amazon SageMaker Ready Program
August 1, 2023
This designation helps customers discover partner software solutions that are validated by AWS Partner Solutions Architects to integrate with Amazon SageMaker.
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Gradient Boosted Regression Trees
April 4, 2014
· 14 min read
Gradient Boosted Regression Trees (GBRT) or shorter Gradient Boosting is a flexible non-parametric statistical learning technique for classification and regression. This notebook shows how to use GBRT in scikit-learn, an easy-to-use, general-purpose toolbox for machine learning in Python. We will start by giving a brief introduction to scikit-learn and its GBRT interface. The bulk of the tutorial will show how…
Classification with scikit-learn
March 3, 2014
· 13 min read
This post looks into the problem of classification, a situation in which a response is a categorical variable. We will build upon the techniques that we previously discussed in the context of regression and show how they can be transferred to classification problems. This post introduces a number of classification techniques, and it will try to convey their corresponding strengths…
A Guide to Multiple Regression Using Statsmodels
February 15, 2014
· 9 min read
Earlier we covered Ordinary Least Squares regression with a single variable. In this posting we will build upon that by extending Linear Regression to multiple input variables giving rise to Multiple Regression, the workhorse of statistical learning. We first describe Multiple Regression in an intuitive way by moving from a straight line in a single predictor case to a 2d…
Ordinary Least Squares Regression in Python
February 8, 2014
· 8 min read
Linear regression, also called Ordinary Least-Squares (OLS) Regression, is probably the most commonly used technique in Statistical Learning. It is also the oldest, dating back to the eighteenth century and the work of Carl Friedrich Gauss and Adrien-Marie Legendre. It is also one of the easier and more intuitive techniques to understand, and it provides a good basis for learning…
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[AI Across Industries
Customer spotlight: Personify Health’s thoughtful approach to AI adoption
December 5, 2024
Learn how Personify Health is accelerating AI adoption of more than 15 predictive and generative AI projects with DataRobot.
Customer spotlight: how doctors and researchers optimize patient outcomes with AI
August 14, 2024
University Medical Centre Mannheim doctors and researchers use DataRobot to unlock clinical findings.
Customer spotlight: building a competitive and collaborative AI practice in fintech
July 24, 2024
Razorpay uses DataRobot to tackle its toughest business challenges, empower team members, and sharpen its competitive advantage.
How to Improve Anti-Money Laundering Programs with AutoML
June 29, 2023
For financial organizations, AML can present a relentless hurdle. The good news is that AI is a perfect antidote to money laundering. Learn how AI can help you save plenty of time and resources.
A Data Scientist Explains: When Does Machine Learning Work Well in Financial Markets?
January 17, 2023
Discover insights on the specific conditions that make machine learning effective in certain financial applications, such as high-frequency trading. Read more.
Showcasing the Power of AI in Investment Management: a Real Estate Case Study
December 20, 2022
In this article, we’ll first take a closer look at the concept of Real Estate Data Intelligence and the potential of AI to become a game changer in this niche.
Improve Customer Conversion Rates with AI
December 1, 2022
By leveraging AI to target the right prospects with personalized promotions based on each customer’s unique attributes and purchase history, businesses can streamline customer segmentation and maximize conversions.
Scoring More Goals in Football with AI: Predicting the Likelihood of a Goal Based on On-the-Field Events
November 1, 2022
Can artificial intelligence predict outcomes of a football (soccer) game? In a special project created to celebrate the world’s biggest football tournament, the DataRobot team set out to determine the likelihood of a team scoring a goal based on various on-the-field events.
AI in Supply Chain — A Trillion Dollar Opportunity
August 18, 2022
Enabling AI in the supply chain empowers organizations to make decisions with confidence, adjust business practices quickly, and outpace the competition. Read more.
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[AI for Leaders
Solving the generative AI app experience challenge
January 22, 2025
Discover why AI leaders struggle to deliver effective generative AI applications and learn actionable strategies to overcome barriers like infrastructure, talent gaps, and hosting challenges.
Why your AI investments aren’t paying off
January 15, 2025
Learn how low confidence in AI models frustrates AI teams, hinders enterprise AI adoption, and limits AI ROI. Explore how to identify the right tools to improve AI governance.
Open Source AI Models – What the U.S. National AI Advisory Committee Wants You to Know
January 4, 2024
This blog post aims to shed light on the recent NAIAC recommendation and delineate how DataRobot customers can proactively leverage the platform to align their AI adaption with this recommendation.
Potential Risks of Generative AI According to NAIAC – And How to Mitigate Them
November 28, 2023
This blog post covers the risks of AI, highlighting what has been mentioned in the finding and connecting it to the need for organizations to incorporate mitigation processes to address the potential risks and continual monitoring of their GenAI tools.
Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative AI
October 5, 2023
Learn about the shift from predictive to generative AI. Gain insights, overcome challenges, and harness the power of AI transformation.
How AI Helps Address Customer and Employee Churn
June 8, 2023
Learn how AI can help businesses reduce customer and employee churn with granular insights and targeted intervention tactics. Explore DataRobot AI Platform.
Getting Value Out of Generative AI
May 10, 2023
Many companies are experiencing mounting pressure to have a generative AI strategy, but most are not equipped to meaningfully put generative AI to work. For AI leaders, there are deeper questions you need to ask as you consider your path with generative AI.
The Risks of GPT-3: What Could Possibly Go Wrong?
June 3, 2022
The influence of the GPT-3 language model has the potential to be both beneficial and misused. Read more in blog post.
New AI governance solutions for trust, security, and compliance
January 8, 2025
Learn new AI governance strategies and tools to centralize oversight, ensure compliance, and help you scale with confidence.
Accelerate data preparation and AI collaboration at scale
December 23, 2024
Learn how to speed up AI development with NextGen WorkBench. Automate data prep, unlock unstructured data, and collaborate in one unified space.
Partner spotlight: How Cerebras accelerates AI app development
December 16, 2024
Discover how to develop AI applications with Llama 3.1-70B using Cerebras and DataRobot. Build, customize, and test LLMs with faster inference speeds.
AI apps and agents that scale impact across your business
December 11, 2024
Learn how AI apps and agents streamline AI use cases, enhance business applications, and empower teams to deploy custom AI solutions.
Why do you need cross-environment AI observability?
June 18, 2024
Achieve an end-to-end view of your entire AI landscape with a single mode of AI governance for all your AI products.
Empowering AI builders with advanced LLM evaluation and assessment metrics
June 11, 2024
DataRobot introduced a suite of advanced LLM evaluation, testing, and assessment metrics in their Playground, offering capabilities that set it apart from other platforms.
How to safeguard your models with DataRobot: a comprehensive guide
June 4, 2024
This 7-step safeguarding guide will walk you through how to set up an effective moderation system for your organization.
How to choose the right LLM for your use case
April 18, 2024
Let’s dive in and see how you can easily set up endpoints for models, explore and compare LLMs, and securely deploy them, all while enabling robust model monitoring and maintenance capabilities in production.
Choosing the right vector embedding model for your generative AI use case
March 7, 2024
When building a RAG application we often need to choose a vector embedding model, a critical component of many generative AI applications. Learn mor