Context/26: The AI community conference on context

Connect all your business systems and pull context across your data estate into one living graph.
Give humans the context they need to understand your business.
AI teammates that document tacit knowledge and make your data AI-ready.
Bootstrap, test, and ship the business understanding every AI needs.
The world's first context store engineered natively for AI.
Finance
Technology
Manufacturing
Media
Healthcare
Retail
Connect with us at conferences, bring your questions to expert-led AMAs, or learn about context through educational deep-dives.

VirtualTredence has built AI agents inside the world's largest enterprises. Anugraha Sinha joins Austin to map that architecture live — where the context layer sits, how definitions and access get set, and a before-and-after of the same agent question answered with and without governed context.
VirtualEnterprise AI fails when agents can't navigate the relationships that give data meaning. Emil Eifrem (Neo4j) argues graph databases are the foundation; Prukalpa Sankar (Atlan) argues they store structure, but the context layer carries meaning, governance, and lineage. They join Austin to work toward a shared picture of what enterprise AI needs.
VirtualMost context strategies stop at metric definitions, but agents also need to know how work gets done and what's allowed. Watch Atlan mine knowledge, expertise, and norms from your existing stack, certify a context layer through a development lifecycle, and deploy it to any agent platform.
VirtualJaya Gupta called the context graph AI's next trillion-dollar opportunity — the reasoning behind a company's decisions that systems of record never stored. What the debate left unsettled is whether a strong graph is enough on its own. Jaya joins Austin to work through what a context graph must hold and where it stops.
VirtualThe biggest voices in AI, in one room, defining what context actually means. Join us on Oct 14

Andrew Reiskind
Chief Data Officer

Joe DosSantos
VP, Enterprise Data & Analytics

Prukalpa Sankar
Founder and Co-CEO

Sanjeev Mohan
Principal, SanjMo

David Mariani
Founder

Mauro Flores
Executive Director (Data democratisation)

Kiran Panja
Managing Director, Cloud Platform and Engineering

Sridher Arumugham
Chief Data Officer

Austin Kronz
Field CDAO

Lu Yang
Head of Product

Roy Hasson
Sr. Director of Product

Steven Touw
Co-founder & CTO

Leonardo Gomez
Principal Analytics Specialist Solutions Architect

Josh Klahr
Product Management

Akshay Pallerla
Strategic Sales Engineer

Andrew Reiskind
Chief Data Officer

Joe DosSantos
VP, Enterprise Data & Analytics

Prukalpa Sankar
Founder and Co-CEO

Sanjeev Mohan
Principal, SanjMo

David Mariani
Founder

Mauro Flores
Executive Director (Data democratisation)

Kiran Panja
Managing Director, Cloud Platform and Engineering

Sridher Arumugham
Chief Data Officer

Austin Kronz
Field CDAO

Lu Yang
Head of Product

Roy Hasson
Sr. Director of Product

Steven Touw
Co-founder & CTO

Leonardo Gomez
Principal Analytics Specialist Solutions Architect

Josh Klahr
Product Management

Akshay Pallerla
Strategic Sales Engineer
VirtualOntologies were the original attempt to encode the meaning organizations run on — and the context layer is chasing the same goal for AI. Is it a new name for that job, or did AI change something fundamental? Jessica Talisman, who's built ontologies since before LLMs existed, joins Austin to give her honest take.
VirtualThe teams winning with AI aren't the ones with the best models. They're the ones building context that compounds. Watch the enterprise context layer architecture built live.
VirtualSee how Atlan's context layer works end-to-end — from mining your existing data stack to deploying governed context to any agent platform.
VirtualAtlan creates the data context. Immuta enforces the right access at the source. Watch the complete governed access flow live — from discovery in Atlan to dynamic provisioning by Immuta, extended to AI agents.
In PersonJoin us at this year’s Databricks Data+AI Summit, where Atlan is a Visionary Sponsor!
VirtualMost teams have data. What they're missing is the layer that makes AI trustworthy. See Atlan's context layer in action — enriching raw data assets, engineering a semantic model, running evals, and watching an AI analyst answer business questions correctly.
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