The missing layer in your enterprise AI strategy

Most organizations have invested heavily in AI, but many are still waiting for it to work. A BCG study analyzing 1,250 companies found that only 5% report deriving substantial value from AI.

Models aren’t the problems. It's context. When AI doesn't understand how decisions actually get made inside your organization — who owns what, why something was built a certain way, what happened last time — it can't take on real work. It can only answer simple questions.

Join this session for a candid conversation between Glean CEO, Arvind Jain, and author of “AI’s trillion-dollar opportunity: Context Graphs,” Foundation Capital partner, Jaya Gupta, on why context is the missing layer in enterprise AI, followed by a live Q&A with Julie Mills, Principal Product Manager at Glean. 

What you'll learn

• Why enterprise AI stalls in practice and why a better model won’t help
• How to approach context graphs: what they are, where they sit in the AI stack, and why they matter for agentic AI
• Why your AI vendor shouldn't own your institutional memory and what to demand instead
• What separates organizations that will compound AI value over time from those that won't