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.
TRUSTED BY 500+ AI-FORWARD ENTERPRISES
About this Session
AWS has become the home for modern data and AI workloads — from data lakes and analytics to machine learning and GenAI. But as AWS estates grow, teams run into a familiar challenge: data is everywhere, but context is not.
Business users struggle to find and understand data across S3, Glue, Athena, Redshift, and SageMaker. Governance teams lack end-to-end lineage and impact analysis across increasingly complex pipelines. And organizations worry that adding “yet another catalog” will only fragment the experience further.
Join Leonardo Gomez (Solutions Architect, AWS), Pablo Quinones (Strategic Sales Engineer, Atlan) and Eric Veleker (Product, Atlan) as they show how Atlan can help your data, business, and AI teams do more with AWS services.
What you'll see
01
Make AWS data discoverable for business users, not just engineers
See how teams use Atlan to make data searchable, understandable, and usable without moving data out of AWS.
02
Power talk-to-data and AI use cases with shared context
See how Atlan acts as a shared context layer for AI on AWS, integrating with SageMaker Unified Studio and the broader AWS data stack to ground AI answers in trusted semantics, end-to-end lineage, and governed context.
03
Get end-to-end lineage across fragmented AWS stacks
Learn how Atlan stitches AWS services together into a unified lineage graph, enabling impact analysis and faster root-cause analysis when upstream changes break downstream dashboards or models.
04
See how Atlan connects AWS across the full data & AI lifecycle
Discover how Atlan integrates across AWS services including Amazon S3, Glue, Athena, Redshift, EMR, MSK/Kafka, DynamoDB, QuickSight, and SageMaker Unified Studio to provide a single, consistent context layer spanning raw data, analytics, and AI workflows.









