Over the last year, the use of knowledge graphs in AI has exploded. The need for AI knowledge and agentic memory has driven companies like Klarna, Walmart, and Uber to use graph databases at the heart of their AI infrastructure. GraphRAG is becoming a popular way of solving for accuracy, explainability, and governance. Graph data science offers myriad signals that can be used to better understand, predict, and engage with your world.
In this talk, Neo4j’s CTO will recap key techniques and latest advances in graph AI, when they are proving to boost AI success, and how to best get started.
Philip Rathle is CTO of Neo4j, the graph database and analytics leader that enabled the ICIJ to crack the Panama Papers, and NASA to get to Mars two years faster. Neo4j enables thousands of organizations worldwide — including most of the Fortune 500 — to solve their most pressing & valuable problems through the power of the connections in data.
Philip comes from a long career in data & databases. He joined Neo4j in 2012, where he led Product Management for over a decade, helping to pioneer the graph database category and creating one of the world’s leading database & analytics companies.