From Data Chaos to Clarity: Why Graph Visualization Powers Smarter Decisions Every enterprise has an overabundance of data to contend with, and making sense of
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
What Is Graph Data Science? Graph data science involves using graph algorithms, statistical techniques, and machine learning workflows to analyze data modeled as interconnected nodes
What Is Explainable AI with Graph Databases? Explainable AI (XAI) with graph databases is the practice of making AI systems more transparent by grounding their
What is a Fraud Detection Graph Database? A fraud detection graph database identifies suspicious behavior by analyzing the relationships between entities like users, accounts, transactions,
What is a Graph Database? A graph database stores data as a network of interconnected entities, to make it easy to ask about and analyze
Company Recognized for its Ability to Execute and Completeness of Vision REDWOOD CITY, Calif. – December 15, 2022 – TigerGraph, provider of a leading ML
Latest Cloud Capabilities Empower Developers, Data Analysts, and Data Scientists to Tap into the Power of TigerGraph’s High-Performance, Scalable Platform with Simple, Intuitive Tools REDWOOD
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.
