LIVE DEMO

Context for AI Analysts: See Atlan’s Context Studio in Action

MAR

11th March

11:00 AM ET

Zoom Webinar

Virtual Event

Your AI analysts are only as good as the context they operate on. See how Atlan’s Context Studio helps teams bootstrap enterprise context from their existing data estate, escape “testing hell” with simulation-driven workflows, and ship AI analysts that actually understand your business.

About Event

The AI Context Gap Is Holding Your AI Analysts Back

Every enterprise is racing to put AI analysts into production. But there’s a gap between AI experimentation and AI in production—and it’s not about models or compute. It’s about context.

When an AI analyst receives a question like “Give me the top 10 new shows to feature on the home page,” it needs to know: Who’s asking and why — marketing or editorial? What does “top 10” mean in your business? Which table has “top shows”? Ranked by views, ratings, or watch time? Without this context, agents become inaccurate and unreliable.

In this live demo, we’ll show you how Atlan’s Context Studio closes this gap—turning fragmented business logic, tribal knowledge, and semantic definitions into a shared context layer that makes AI analysts accurate, governed, and production-ready.

Speakers

Josh Klahr

Head of Product Management for AI-Powered BI

Josh Klahr is Head of Product Management for AI-Powered BI at Snowflake, leading product roadmap and strategy. With 25+ years in data and analytics, he has held leadership roles at Yahoo!, Pivotal, AtScale, and Splunk, driving growth and overseeing major enterprise data products.

Deb RoyChowdhury

Staff Product Manager

Deb is a product leader focused on AI operations and data platforms. He builds AI operations and data products that help teams deploy reliably to production, with experience spanning startups to enterprises across AI, distributed systems, and data platforms.

Anirudh Agarwal

Senior Software Engineer - II

Anirudh is a senior engineer at Atlan building across data, AI, and product engineering. Previously, he scaled AI-driven consumer products to 100K+ users and $200K ARR, and was an early team member at Postman during its rapid growth from startup to category leader.

Why Attend:

A Live Walkthrough of Context Studio—From Cold Start to Production

Solve the Cold Start Problem

See how Context Studio bootstraps rich, AI-ready context from your existing data estate: auto-generating column descriptions, linking business terms, extracting popular joins and filters, and surfacing the metrics that matter.

Escape “Testing Hell”

Watch how Context Studio gives you a north star: baseline test sets from your existing dashboards, simulation-driven iteration, and a repeatable rinse-and-repeat workflow until you’re confident enough to ship.

Scale Beyond One Agent

See how Context Studio packages context into portable, versioned, access-controlled Context Repos that any agent can consume—whether it’s Snowflake Cortex, Databricks Genie, AWS agents, or your custom-built solutions.

Building Blocks of the Context Layer

Building context isn’t a small ask. To answer a seemingly simple question, an AI agent needs to layer user context (who’s asking and what decision needs to be made?), knowledge context (what are the processes I need to follow?), meaning context (how are metrics and terms defined?), and data context (what table should I use?).

Who Should Attend:

Built for Teams Bringing AI Analysts to Production

• Data & Analytics Leaders who are deploying AI-powered analytics and need context to make them accurate
• AI / ML Engineers building agents on Snowflake Cortex, AWS, or custom stacks who are stuck in the context engineering bottleneck
• Data Governance & Stewardship Teams looking to scale context creation beyond manual curation
• CDOs & Data Strategy Leaders evaluating how to bridge the gap between AI experimentation and production

Join us!