How Graph Fixes the Remediation Loop Impacting Entity Resolution Remediation is supposed to be temporary. Alerts are investigated, issues are corrected, and over time, similar problems should appear less frequently…
How Small Relationship Errors Create Big Entity Resolution Failures Entity resolution is often discussed as a record-matching problem, with a focus on which records belong together and which do not.…
Preventing Entity Resolution Merges That Ignore Lifecycle Evolution It feels logical to treat entity resolution as a convergence problem. As records arrive over time and attributes accumulate, confidence increases. Eventually,…
Why Temporal Conflicts in Entity Resolution Cause Chaos Entity resolution often assumes that identity becomes more stable over time. As more data arrives, records are expected to converge, links are…
Failed Update Patterns in KYC. How Identity Graphs Catch “Trying to Become Someone Else” Profile updates are a routine part of know-your-customer (KYC) operations. Customers change phone numbers, addresses and…
Anomaly vs. Outlier Detection: How Hybrid Graph+Vector Search Discovers What Others Miss The terms anomaly detection and outlier detection are often used interchangeably, but they represent two distinct strategies for…
Money Laundering Detection with AML Graph Analytics’ Structuring and Layering Funds move through accounts, intermediaries, shell companies and payment channels in ways designed to break the trail. Traditional transaction monitoring…
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.