Dr. Victor Lee

Head of Product Strategy and Developer Relations at tigerGRAPH

Dr. Victor Lee is Head of Product Strategy and Developer Relations at TigerGraph. He brings a strong academic background, decades of industry experience, and a commitment to quality and service. Victor was a circuit designer and technology transfer manager at Rambus, before returning to school for his computer science Ph.D., focusing on graph data mining. He received his BS in Electrical Engineering and Computer Science from UC Berkeley, MS in Electrical Engineering from Stanford University, and Ph.D. in Computer Science from Kent State University. Before TigerGraph he was a visiting professor at John Carroll University.

WATCH LIVE: February 16 @ 3:25PM – 3:55PM ET

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

Today’s analytical graph databases are taking organizations 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 machine learning with graph algorithms
– Machine learning 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, Jaguar Land Rover and Intuit Corporation. We will cover use cases including entity resolution, customer 360, recommendations, knowledge graph and real-time fraud detection.

Register