Understanding Network Escalation and Risk Propagation in AML In anti-money laundering programs, risk rarely exists in isolation. Although a transaction might look routine on its own, the surrounding pattern can…
Connection Changes Everything AI systems rarely fail because they lack data. In most enterprises, there is already more data than any model can reasonably consume. And increasingly, they don’t fail…
Why Time-Aware AML Signals Only Make Sense in a Graph Money laundering detection and investigation relies on analyzing transaction and account behavior for signals that point towards possible illicit activity.…
The Missing Layer in Your AI Stack Most AI stacks look complete. On paper, they have everything: 1. Applications; 2. Large language models (LLMs), 3. Vector databases, and 4. Enterprise…
Coordinated Timing Patterns That Reveal Collusion A busy day can look normal. Lots of payments, lots of movement, lots of noise. Coordination hides inside that noise because it is spread…
Your AI Cost Problem Isn’t Training. It’s Inference. Training gets the headlines because it is visible, expensive, and easy to measure. It is where GPUs are purchased, clusters are built,…
Tokenmaxxing is a Phase. Inference Yield is the Strategy. Why the Next AI Race Won’t Be Won by the Companies That Burn the Most Tokens A new behavior is emerging…
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.