Redefining Enterprise Automation with Agentic AI Enterprise automation is entering a new phase. Organizations have moved from rule-based workflows to machine learning systems and, more recently, to large language models…
Using Graph to Ground Agent Reasoning in Real Time Autonomous AI agents don’t just need instructions—they need context to reason. As AI systems grow more agentic, taking initiative, coordinating tasks,…
Graph: The Nervous System for Agentic AI Why agents need more than prompts—they need connected intelligence. Agentic AI is evolving fast. We’ve moved beyond simple tools that complete tasks and…
Why Agentic AI Needs Context Memory and Relationship Reasoning Prompting isn’t enough. Autonomous AI agents are changing how we think about automation. No longer limited to single tasks, these agents…
Fortify Your System with Agentic AI—Why the Time Is Now Cybersecurity has entered a new phase—defined less by perimeter breaches and more by behavioral complexity. Today’s threats don’t simply knock…
The Agentic AI/Graph Database Combo Powering Emerging Applications Static AI models that provide insights on demand are no longer enough. Today’s enterprise needs systems that can dynamically adapt, make autonomous…
Why Agentic AI Needs More Than Just Rules (It Needs Guardrails) Traditional AI models often operate in rigid, rule-based environments, but real-world scenarios demand nuance. Agentic AI doesn’t just follow…
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.