Atlan

The EU AI Act requires documented data provenance for high-risk AI systems. Enforcement starts August 2026. Training data lineage tracks every source, filter, and transformation before data enters an LLM. Without it, debugging bias is guesswork. atlan.com/know/training-…

Most context layers are built once and left to drift. We used anthropological research methods to find the gaps, then built a feedback loop to fix them. For humans today. For AI agents tomorrow. @atlanhq blog.atlan.com/community/meta…

44+ guides on the enterprise context layer: definitions, architecture, and how it differs from a semantic layer. atlan.com/know/enterpris…

"In a world of heterogeneity, the integrator always wins — not the application." Context graphs are the integration layer AI has been missing. → atlan.com/know/context-g…

The context layer transforms technical metadata into business meaning — connecting ontologies, glossaries, policies, lineage into one shared layer every AI tool can read. → atlan.com/know/what-is-a…

.@a16z just published on the context layer for AI. Their take: data agents are useless without it. @Atlan is in the market map. 🙌 a16z.news/p/your-data-ag…

Data is what it is. Context is what it means. The context layer is what makes AI enterprise-ready. → atlan.com/know/ai-readin…

"We need to build an integrated context layer across our architecture, connecting every piece of information so everyone and everything, people and agents alike, can see the bigger picture and make better decisions." —Adam Ronthal, Georgia O'callaghan, @Gartner_inc #GartnerDA Learn about our Context Layer that makes AI 5x more accurate. Booth 313.

Five minutes into the #GartnerDA opening keynote: "You need to strengthen your foundation. To help you maximize value from well governed context, rich data and systems." —Adam Ronthal, Georgia O'callaghan, @Gartner_inc

The context layer is in the building. 💙🙌 Meet the @AtlanHQ team at Booth 313 today at Gartner D&A. → Free ice cream 11am–3pm → Cargill session @ 2pm #GartnerDA

#GartnerDA starts TODAY! 300+ sessions. Build your agenda before you land. Our free session builder matches your role, priorities, and 2026 initiatives to six sessions worth your time — in 60 seconds → lnkd.in/gub38rKn

The trillion-dollar AI opportunity isn't a better LLM. It's context graphs — the accumulated decision traces and institutional knowledge enterprises already have but can't activate. → atlan.com/know/context-g…

Most enterprises pull data from 6-10+ systems simultaneously. Context graphs are how you unify that. Start with one critical domain — initial value in 2-4 weeks. → atlan.com/know/what-is-a…

Graph-grounded RAG delivers 35% accuracy improvements over traditional retrieval. The difference is context. → atlan.com/know/what-is-a…

AI agents still miss simple business questions because they lack context. See how @AtlanHQ + @Snowflake fix this with a shared semantic layer built with Open Semantic Interchange + Atlan Context Studio. 📆 March 11, 11 AM ET 📍 Zoom Register 👇🏼 atlan.com/live-demo-seri… 1/3

LLMs hallucinate when they lack context. Context graphs provide semantic + operational grounding — not just definitions, but full lineage, quality metrics, ownership, and policy. → atlan.com/know/what-is-a…

There's a minimum viable context threshold for AI to work reliably in production. Below it, your AI hallucinates. Above it, it acts like a domain expert. → atlan.com/know/ai-readin…

Enterprise AI fails because models can't access the unwritten rules humans intuitively understand. When AI doesn't know "customer" means different things to Finance vs. Sales, it gets it wrong. That's the context gap. → atlan.com/know/ai-readin…

Where do you fall on the AI Context Maturity Ladder? 🪜 84% of organizations deploy AI but can't operationalize it. The missing piece? Context infrastructure. See where you stand by taking our short assessment: bit.ly/4s5CtxY