How to Make the CFO Business Case for Graph Database Every CFO is charged with balancing three imperatives: reduce costs, manage risk, and enable growth. In banking, those imperatives are…
What’s Missing from Your Identity Graph? Behavior. Behavior is the missing layer in most identity graphs, especially when it comes to financial crime and AML/KYC programs. Although banks have unified…
Contextual Entity Resolution in Banking - Beyond Just Matching Every major bank faces one deceptively simple question: Who are we really dealing with? It’s a question that runs through every…
Why Matching Scoring Isn’t Enough for Identity in Banking Identity is the heart of modern banking. Every compliance check, every AML investigation, every onboarding workflow ultimately depends on answering one…
Dr. Jay Yu is the VP of Product and Innovation at TigerGraph, responsible for driving product strategy and roadmap, as well as fostering innovation in graph database engine and graph solutions. He is a proven hands-on full-stack innovator, strategic thinker, leader, and evangelist for new technology and product, with 25+ years of industry experience ranging from highly scalable distributed database engine company (Teradata), B2B e-commerce services startup, to consumer-facing financial applications company (Intuit). He received his PhD from the University of Wisconsin - Madison, where he specialized in large scale parallel database systems
Todd Blaschka is a veteran in the enterprise software industry. He is passionate about creating entirely new segments in data, analytics and AI, with the distinction of establishing graph analytics as a Gartner Top 10 Data & Analytics trend two years in a row. By fervently focusing on critical industry and customer challenges, the companies under Todd's leadership have delivered significant quantifiable results to the largest brands in the world through channel and solution sales approach. Prior to TigerGraph, Todd led go to market and customer experience functions at Clustrix (acquired by MariaDB), Dataguise and IBM.
