Episode 2
Industry Perspective: Why is context
so important?
Every vendor, analyst, and framework has landed on "context" at the same time. But why now and what does it actually mean? Sanjeev Mohan gives his unfiltered take on what's real, what's hype, and what the industry is getting wrong.
Questions we'll tackle:
- Gartner declared 2026 the year of context. Is the industry ready?
- Knowledge graphs, semantic layers, data catalogs — we've tried this before. What's been missing?
- Does context need its own layer, or are we building the next thing we'll spend a decade unwinding?
SPEAKERS
CONVERSATION LEADERS
Austin Kronz
Field CDAO at Atlan
Former Gartner Director who spent years advising Fortune 500 data leaders on analytics strategy — now Field CDAO at Atlan. He's the person large enterprises call when they can't figure out why their AI keeps getting context wrong.
Prukalpa Sankar
Founder and Co-CEO, Atlan
Founder and Co-CEO of Atlan. She's been inside the context layer problem longer than most, and has the receipts to prove it. One of the people who coined the term and helped define what it actually means in practice.
Sanjeev Mohan
Independent Industry Analyst
Independent industry analyst who left Gartner to call data trends honestly. Spent thirty years watching the industry name new categories — and watching half of them quietly disappear. When he weighs in on context, it means something different than when a vendor does.