Gaurav Deshpande

VP Marketing at TigerGraph

Gaurav Deshpande is the VP of Marketing at TigerGraph. Gaurav brings TigerGraph a proven track record in leading teams in creating new products, establishing new markets, and dominating industries. At TigerGraph, Gaurav’s team has grown the lead base, pipeline, and revenue 10x in three years and racked up over 50 awards including Most Disruptive Startup (Strata 2018), Gartner Cool Vendor 2020, and Leader in Forrester Wave Report for Graph Data Platforms Q4 2020.  Previously, Gaurav spent 15 years overseeing marketing for IBM’s Artificial Intelligence, Blockchain, and Cloud portfolios for the Banking and Financial markets, Telecommunications, and Retail. He also built out and positioned IBM’s Big Data and Analytics portfolio, driving 45 percent year-over-year growth. Before IBM Gaurav led two startups through explosive growth, i2 Technologies (IPO), and Trigo Technologies (acquisition by IBM).

Victor Lee

Head of Product Strategy & 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.