STARTS MAY 12TH · BI-WEEKLY · LIVE
WTF IS THE
A bi-weekly live series for AI leaders and builders. One burning question per episode, an open AMA floor, and guests who've actually built context infrastructure.
WTF IS THE CONTEXT LAYER?
Every vendor claims to be the context layer now. We cut through the noise and work toward a definition that actually holds up — with the people who coined the term.


UPCOMING SESSIONS
Register for any session below. Can't make the live session?
Register anyway — on-demand access goes out within 24 hours.
Every vendor claims to be the context layer now. We cut through the noise and work toward a definition that actually holds up — with the people who coined the term.
QUESTIONS WE'LL TACKLE:
- Where does a knowledge graph end and a context layer begin?
- What does a context layer actually look like inside a real enterprise?
- Who owns it — the data team, the AI team, or the platform team?

Gartner called it. LangChain called it. Every vendor at every conference this year is suddenly calling it. Context is the word everyone in enterprise AI has landed on at the same time — but why now, and why does it actually matter? Sanjeev Mohan spent a decade at Gartner watching trends get named before they get understood. This episode is his honest read on what's real, what's hype, and why context is the problem worth solving.
QUESTIONS WE'LL TACKLE:
- Gartner declared 2026 the year of context. What does that actually mean — and is the industry ready to act on it?
- Knowledge graphs, semantic layers, data catalogs — we've been trying to solve the context problem for decades. What's been missing?
- Does context actually need its own layer — or are we about to build the next thing we spend a decade unwinding?
- What is the industry getting dangerously wrong about context right now?

Press SPACE or tap to start · collect tickets to build your score