Scaling Trust & Detecting Outliers with Graph Neural Networks Our world is increasingly fueled by AI-driven decision-making, so trustworthy data is non-negotiable. When algorithms determine who gets a loan, who…
Why the Enterprise Needs Graph for True Predictive Analytics The phrase "predictive analytics" has been tossed around for years, but most systems haven’t lived up to the promise. Until now,…
How Graph Neural Networks (GNN) Outperform Traditional Machine Learning Traditional machine learning can tell you a lot but not everything, and especially not when the relationships between your data points…
Why Leading Enterprises Use Graph Analytics to Power Their Customer Data Platforms Modern enterprises manage millions of customer interactions each day. There are endless emails, purchases, web sessions, and support…
Understanding Model Context Protocol (MCP) The Model Context Protocol (MCP) is an open standard that aims to streamline how AI models, particularly Large Language Models (LLMs), connect with external data…
Precision Is the New Personalization, and Graph AI Helps Retailers Hit the Mark Traditional retail personalization strategies have often fallen short. Segment-based campaigns and rules-based engines deliver recommendations that are…
Graph Analytics for FinTech: Solving What Traditional Databases Can’t Financial services today operate in a world defined by complexity—of products, of regulations, and most importantly, of relationships. From fraud detection…
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.
