Abstract: Thinking about adding relationships to improve your machine learning predictions? Or maybe you’re creating a knowledge graph for investigating dependencies or finding counterfactuals.
Join us for a demo of Neo4j’s enterprise-ready graph data platform and see firsthand how easy it is to start using the world's most widely deployed graph database. In this session, you’ll discover what’s possible with graphs, using a wide range of Neo4j tools including:
The Graph Data Science Library
Supervised machine learning
No-code visualization with Bloom
You’ll leave this demo with essential resources for predictive modeling and analytics with graph technology.
Bio: As a member of the Neo4j Field Engineering team, Stuart brings 15 years of experience helping many Global 2000 organizations solve their business challenges leveraging semantic technologies, natural language processing, search and graphs. In addition, he has experience across a wide range of industries, including healthcare, finance, manufacturing and retail. Based in the Bay Area, Stuart works with large enterprise companies including Wells Fargo, eBay, Visa, Adobe, Genentech, Kaiser and Cisco.
