---
title: "Atlan + AWS: The 2026 Playbook for AI-Ready Data"
url: "https://atlan.com/live-demo-series-atlan-aws-ai-ready-data-playbook-2026/"
description: "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."
---

> Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/

**Atlan in Action live demo with AWS.** 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. For data, business, and AI teams running on AWS.

**Status as listed on the page:** Concluded / Jan 28 / Virtual / 11 AM ET. The session page: [https://atlan.com/live-demo-series-atlan-aws-ai-ready-data-playbook-2026/](https://atlan.com/live-demo-series-atlan-aws-ai-ready-data-playbook-2026/).

## 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.

The session shows how Atlan can help data, business, and AI teams do more with AWS services.

## Speakers

- Pablo Quinones, Strategic Sales Engineer, Atlan
- Leonardo Gomez, Principal Analytics Specialist Solutions Architect, AWS
- Chandru Sugunan, Group Product Manager, Atlan

(The About copy also names Eric Veleker, Product, Atlan, as a presenter.)

## What you'll see

1. **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.
2. **Power talk-to-data and AI use cases with shared context.** 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.
3. **Get end-to-end lineage across fragmented AWS stacks.** 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.
4. **See how Atlan connects AWS across the full data and AI lifecycle.** Atlan integrates across 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.

## Customers

Trusted by 500+ AI-forward enterprises. Customers shown: Mastercard, HubSpot, Zoom, Dropbox, Autodesk, Nasdaq, Fox, GitLab, Unilever, Workday, Elastic, NHS, Affirm, General Motors, easyJet, Medtronic, New York Life, Grainger.

Customer videos ("The only proven way to create context"): DigiKey: Context Readiness (Sridher Arumugham) / CME Group: Context at Speed (Kiran Panja) / Mastercard: Context by Design (Andrew Reiskind) / Virgin Media O2: Context for All (Mauro Flores).