How do you actually build an enterprise context graph?
A split emerges: organizationally it's top-down (governance, controls, permissions), but architecturally it's bottom-up (connect everything, layer knowledge on top). The panel warns against multi-year "build it and they will come" approaches.
Bob Muglia
Former CEO, Snowflake
As former CEO of Snowflake and a longtime Microsoft executive, Bob has built and scaled the platforms modern data runs on. Bob represents the System of Data perspective: if context becomes core infrastructure, warehouses and data platforms are the natural gravity well.
Jaya Gupta
Partner, Foundation Capital
Jaya frames context as AI’s trillion-dollar unlock in the viral essay that made context graphs unavoidable: Context Graphs: AI’s Trillion-Dollar Opportunity. She brings an investor’s clarity to where durable value actually compounds when it comes to context.
Karthik Ravindran
GM, Enterprise Data & AI, Microsoft
Karthik represents the hyperscaler reality as GM of Azure Data, which embeds ontology and context into cloud systems like Fabric IQ. Karthik represents the System of Record and challenges whether independent context systems can truly keep up.
Prukalpa Sankar
Co-founder, Atlan
As co-founder of Atlan, Prukalpa has worked across hundreds of enterprises to understand where context actually lives: in metadata, lineage, ownership, policies, and usage — not inside any single tool. She believes that context must be exist as a universal, independent layer.
Tony Gentilcore
Co-founder, Glean
Tony Gentilcore is Co-founder and Product Engineering Lead at Glean. With 20+ years building high-performance products, he spent a decade at Google modernizing Search and later led the Chrome Speed Team, shaping how data is accessed and delivered at scale.