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Smarter AI with Analytical Graph Databases - Best Practices and Case Studies

Today's analytical graph databases are taking organisations to another level by connecting all their data, representing knowledge better, and obtaining answers to deeper questions in real-time. These benefits extend to the world of machine learning and AI. This talk will illustrate several ways in which graph databases and graph analytics can deliver smarter AI: • Unsupervised learning with graph algorithms • Feature extraction and enrichment with graph patterns • In-database ML techniques for graphs Join us as we share client case studies from 7 out of the top 10 banks in the world, China Mobile, Xandr (part of AT&T), UnitedHealth Group, and Intuit Corporation. We will cover use cases including entity resolution, customer 360, recommendations, and real-time fraud detection. Speakers: Victor Lee, Head of Product Strategy & Developer Relations, TigerGraph | Andy Steed, Big Data LDN