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Neo4j Live Demo: Supply Chain
10:00 a.m. PT | 1:00 p.m. ET | 18:00 BST | 19:00 CEST
The global supply chain is under intense pressure, with shortages affecting businesses and consumers alike. To remain competitive, businesses must build their supply chain to withstand constant change.
Supply chains used to be linear, but now they consist of complex, interconnected digital networks. Graph-based approaches to supply chain analyze the linkages between materials, people, products, and institutions, providing a level of visibility impossible to achieve with legacy technologies.
Find out how to build a resilient supply chain based on large-scale, real-time analytics on Neo4j’s graph data platform. In this live demo, you’ll learn how to:
Model your data to address demand volatility with better predictions
Visualize data as a network of shipping paths, fleet management, and more
Perform “what if” scenarios to forecast problems before they occur
Build a full-stack application on managed cloud services for faster time to market
Register today to learn graph data science techniques from Neo4j experts so you can optimize routes for delivery and fulfillment – all in real time.
Technology Partner Architect, Neo4j
David Allen is Technology Partner Architect at Neo4j. He is a deeply technical generalist with experience in managing teams and driving towards complex goals. The most fun he has had in his career is when he is learning something new, or trying to figure out how to do something that hasn’t been done before.
When not trying to improve something technical, you can usually find David playing guitar or cycling. He loves meeting new people, and has a very keen interest in language and culture and loves to find common ground with other people through travel and music.
Partner Technical Marketing, Neo4j
Jaime is from the Technology Partner team at Neo4j, with a seasoned career successfully executing channel and product campaigns across industries, geographies and technologies. He has “led the charge” for a number of SaaS, Advanced Analytics and AI solutions from start-ups to larger Enterprise Fortune 200 companies, such as IBM, Oracle and EMC among others. As a graduate of Santa Clara University, Jaime applies his technical, market and industry knowledge enabling today’s organizations to benefit from best-in-class solutions and optimized outcomes from their data.
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