We're bringing the context layer to #SnowflakeSummit! ❄️
Four sessions. One spicy debate. Workday on stage sharing what they've built in production. And @prukalpa ⚡ demystifying the enterprise context layer live.
What we're tackling this week:
→ WTF is the enterprise context layer, actually? Prukalpa breaks it down and demos it. June 1, 4:00 PM PT.
→ Context layer vs. semantic layer vs. ontology vs. knowledge graph. Three industry leaders, one stage, no agreed-upon answer. Prukalpa Sankar, Jessica Talisman, and Cindi Howson hash it out. June 2, 1:00 PM PT.
→ Workday's VP of Enterprise Data & Analytics shares how they're putting the context layer into production. Not theory. Proof. June 2, 3:00 PM PT.
→ Workday's Director of Enterprise AI Solutions goes deeper on building trustworthy AI agents with context. June 3, 12:30 PM PT.
Search "Atlan" in the app and add these to your agenda. And of course, come see the Context Layer LIVE at Booth #1612 all week. 🙌
Great session @prukalpa@AtlanHQ
The best part to remember - speed up to speed up
And the funniest part—accept, accept, accept
Having an interview at Atlan, let's see if i will be going to work with such a great team or not...
We are proud to be a part of the AI Context Ecosystem: 40+ partners, one shared understanding of your business.
Bigeye + Atlan turn lineage into a live trust signal at inference time.
Learn how to build yours. Join Activate on April 29th → https://t.co/w9VHHKY4wj
Elastic's approach to context engineering: start in the data layer, define what good context looks like, enforce it before production. Then build semantic models on a real foundation — not brittle prompts that break and silo knowledge.
Thanks for joining us Jessie Buelteman!
2025 - everyone talked about the context layer for AI.
Tomorrow - we're showing it live.
Come see Atlan's biggest product launch of the year:
🔹Context Engineering Studio: AI bootstraps 90%, your team adds the 10% only humans carry.
🔹Context Agents: nine autonomous teammates that keep documentation alive.
🔹Context Lakehouse: open, portable, built for any tool in your stack.
https://t.co/Iqgp67ajFC
Context will become a core thing for enterprises. This may be a good event to attend to understand where we are now on this, and potentially hos to use it for our companies.
Discover how data product marketplaces provide usage intelligence to the context layer to drive AI success in the new blog https://t.co/b9eAxBzG4n #data#datamarketplace#AI@AtlanHQ
AI analysts fail in production without behavioral context.
We’re proud to join @AtlanHQ as a Context Layer Partner to fix this 🤝
https://t.co/bZV7dXTlAa
Enterprise AI projects stall when a model reasons fluently on top of data it doesn't understand.
Without a semantic layer, your AI agent pulls 'active_users_v2' but strips the business logic that gives that metric meaning. As a Context Layer Partner for @AtlanHQ, we fix this by feeding Spotter—our AI analyst—the relationships it needs to act correctly.
Go from "plausible" answers to verified insights. Get the full story here: https://t.co/XKEV8BcmPT
There is one product that’s hard at work at solving this @ycombinator! Come to @AtlanHQ Activate this week, and yes — the integration work is painful, + there are other challenges: context pollution, context rot, context collaboration. @sdianahu
https://t.co/9eZtf3GPvc
Stored-extract memory for AI agents goes stale the moment your schema changes.
Active metadata propagates live context at inference time instead.
The result: 3x text-to-SQL accuracy vs bare-schema agents. https://t.co/iEl411MJs1