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Five Questions Every CDO Should Ask About AI and Semantics
The metrics powering your AI agents right now, like margin per square foot or total economic cost, probably don’t belong to you. They belong to whichever platform computes them today. Snowflake, Databricks, the frontier LLM…
Don’t Let Microsoft Be Your Warden
Microsoft just made the case for AtScale by playing Warden Norton, the prison boss from “The Shawshank Redemption.” On Tuesday, Sara Vredevoogd from Microsoft’s Power BI team announced that Microsoft 365 Copilot can now query…
My Case for the Semantic Layer, Made Live on Atlan's Podcast
I recently joined Austin Kronz on Atlan’s podcast, WTF is the Context Layer , to discuss one of the biggest sources of confusion in enterprise AI: the distinction between semantic layers , context layers, and…
Snowflake Semantic Views vs. Universal Semantic Layer: Which One Does Your Enterprise Actually Need?
Snowflake Semantic Views let you define metrics, dimensions, and relationships directly inside Snowflake, with no extra tooling required. A universal semantic layer sits above your warehouse and works across Snowflake, other data platforms, and every…
One Governed Layer, Now Live Across Excel, Power BI, and Horizon Context
Power BI and Excel users can soon query governed Snowflake Semantic Views directly. No mirrored data. No business logic was rebuilt outside the warehouse. That’s the news customers have been asking for and AtScale formally…
The Real AI Sovereignty Fight Is About Meaning
In the last few weeks, the sovereignty conversation has moved from academic to urgent. Palantir’s Alex Karp went on CNBC to explain the logic behind his company’s partnership with NVIDIA and spent 20 minutes arguing…
Three Companies Solved Their AI Problem Before AI Was the Problem
An agent is only as reliable as the definitions it’s built on. And every company racing to deploy agentic AI right now is about to learn it the hard way. Here’s what’s actually happening at…
Why I Joined AtScale: The Semantic Layer Inflection Point
Over four and a half years at Snowflake, I watched enterprises run into a problem that’s about to get much worse: every major platform has built its own semantic layer , and none of them…
Enterprise AI: Separate the Reasoning from the Calculation
At this year’s Semantic Layer Summit , practitioners from Anthropic, Chevron, WPP, Accenture, NVIDIA, and OpenHands, compared notes on why production AI keeps breaking down. The consensus? The LLM is not the bottleneck. It’s context.…