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Nodes2024

Dev Conference by Neo4j

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Leveraging Neo4j Graph Data and AI Across the Application Development and Deployment Lifecycle

Session Track: Applications

Session Time:

Session description

Neo4j’s powerful graph database features can be amplified using AI to benefit developers and end-users. Using the Neo4J movies dataset, the session covers applying AI across the application life-cycle--from Cypher query authoring, to understanding existing cypher queries, vector searching, data analysis, and even GraphRAG. See how AI helps you author queries that can be discovered and reused by peers 24x7. Create publication-quality, interactive analytics combining visual summaries plus the required node details to clarify business situations. Then embed these templates into your applications and leverage GraphRAG techniques for seamless workflows enabling real-time insights and decision-making.

Speaker

photo of Bill Reynolds

Bill Reynolds

Chief Technical Officer, Qarbine

Bill Reynolds has more than 20 years experience in both building enterprise applications and licensing tools to enterprises. He has led several teams including developing cyber security applications deployed by the US Navy and at DARPA's National Cyber Range. His enterprise tool customers have included most of the Fortune 500 and Wall Street firms, along with international banks. He has worked with a variety of database technologies over the years and integrated with 10+ SQL database, 5 object oriented database, and several NoSQL databases including MongoDB. Qarbine is his 6th reporting engine with two previous ones garnering license buyouts from leading technology vendors. Qarbine is an acronym for "Querying, Analytics, & Rich Business Intelligence for NoSQL Enterprises".