See the context layer, built live.
Watch Atlan engineers bootstrap, test, and deploy enterprise context on real data — from cold start to production-ready agent.
Databricks + Atlan: Building the AI-Native Enterprise, Together
At enterprise scale, AI agents multiply faster than shared context does, producing conflicting answers and eroding trust. Databricks Genie brings the intelligence; Atlan brings the context: semantics, quality signals, and governance that make every answer trustworthy. Join us on May 20 to see how it works.
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Upcoming Sessions
At enterprise scale, AI agents multiply faster than shared context does, producing conflicting answers and eroding trust. Databricks Genie brings the intelligence; Atlan brings the context: semantics, quality signals, and governance that make every answer trustworthy. Join us on May 20 to see how it works.
Most teams have data. What they're missing is the layer that makes AI trustworthy. In this 45-minute live session, you'll see Atlan's context layer in action — from enriching raw data assets to engineering a semantic model, running evals, and watching an AI analyst answer business questions correctly.
On Demand Sessions
Catch up on past demos and explore real use cases, anytime.
Full Platform Demo: Building Context for Your AI Agents
See how Atlan connects your databases, warehouses, BI tools, and collaboration platforms into a single context layer.
Building Production Ready AI Analyst
Atlan and Snowflake show you how to bootstrap enterprise context from your existing data estate, standardize it with Open Semantic Interchange, and ship AI analysts that actually understand your business.
The AI Context Layer for Your GCP Stack
See how Dataplex and Atlan work together to make your data AI-ready.
Atlan + Microsoft: Unifying Data & AI Governance for the Modern Enterprise
From Siloed Data to Trusted Insights — How Atlan and Microsoft Fabric empower every user.
Atlan + AWS: The 2026 Playbook for AI-Ready Data
Learn how Atlan helps teams unify fragmented AWS services with lineage, enable self-service for business users and AI agents, and keep governance consistent across Glue, S3, Athena, Redshift, and SageMaker Unified Studio.
Data Products and Federated Governance
Publishing data products is one thing. Making them discoverable, trusted, and governed at scale is another. This live demo covers the full lifecycle.
Automated Lineage for Trust & Visibility
This session shows how Atlan's automated, column-level lineage stitches your data, pipelines, BI, and AI together so teams can resolve issues faster, assess impact, and operate with shared context.
Enhancing Collaboration with Business Glossaries
See how Atlan's Business Glossary becomes the single source of context your organization actually uses — connecting business definitions to technical assets so everyone speaks the same language.
