LIVE DEMO
Building Production-Ready AI Analysts
MAR
11
Concluded
Zoom Webinar
Virtual Event
About Event
A Live Look at AI Analysts — Built, Tested, and Deployed
In this session, Atlan's Context Studio team is joined by Josh Klahr, who leads AI-Powered BI at Snowflake and helped build Open Semantic Interchange, for a live walkthrough of what it actually takes to get AI analysts into production.
You'll get a clear view of why context is so hard to get right, a practical introduction to semantic views and Open Semantic Interchange (OSI), and live demos showing how to build context, validate it, and deploy it across any AI interface — Snowflake Cortex, Claude, or your own agents.
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:
Learn What It Takes to Build Production-Ready AI Analysts
Why Context Is the Real Bottleneck
Understand exactly why AI analysts fail in production — not because of the model, but because the context is scattered, inconsistent, and impossible for AI to consume as-is. You'll leave with a clear framework for what "solving context" actually means at the enterprise level.
What Is a Semantic View and Why Does It Matter?
Learn how Open Semantic Interchange (OSI) creates a standard for expressing business semantics, so the same context can be understood by any AI system. You'll understand what a semantic view is, how OSI was designed, and why standardizing this layer is the unlock for scalable AI-powered BI.
See Atlan’s Context Studio in Action
Watch a live demo of how Context Studio bootstraps enterprise context from what you already have — auto-generating column descriptions, linking business terms, surfacing key metrics — and then validates it through simulation-based testing so you can ship with confidence.
See Context Travel Across Interfaces: Atlan + OSI in Action
See how context built in Context Studio flows through OSI and surfaces in different AI interfaces, without rebuilding it for each one. You'll understand how to standardize once and deploy anywhere, whether that's Snowflake Cortex, Claude, or a custom-built agent.
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
