Smarter AI with Analytical Graph Databases - Best Practices and Case Studies
Автор: Big Data LDN
Загружено: 2021-02-23
Просмотров: 265
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
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