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…
Capturing Cross-Border Routing Signals That Hide in Plain Sight Cross-border routing risk usually shows up in the route choices, not the transfer amount. The same corridor, meaning the same route…
How Graph Analysis Finds Repeating Laundering Patterns A typology is a common pattern of suspicious behavior that compliance teams watch for. Some typologies show up as repeating connection patterns, such…
A Buyer’s Guide to the Fraud Technology Market Fraud programs are not struggling because they lack tools. They are struggling because many tools do not share a consistent view of…
Structuring and Evasion Patterns Become Clearer With Graph Context Thresholds can create blind spots. Structuring is a common example. Structuring means splitting activity into smaller transactions to avoid attention tied…
High-Impact Graph Database Project Ideas for Modern Data Teams Modern data teams do not need more abstract diagrams or theoretical exercises. They need graph projects that help them understand what…
High-Performance Graph Database Schema Design for Connected Data | TigerGraph A graph database schema defines the structure of data, including the entities in the domain, the connections between them, and…
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.
