Updated September 22, 2026
A Wrong Answer Has Never Looked So GoodExecutive Summary:An agent doesn’t have a gut check, so it treats a wrong answer as fact and can’t catch it before building the next question on top of it, and accuracy drags down fast as a conversation goes on. The…
Updated September 17, 2026
The Missing Step in Text-to-SQLExecutive Summary: I asked how many units we sold in Q2 2008 against an AdventureWorks tutorial dataset and got 25,427 units. Correct. A second calendar in the same schema, a retail 4-4-5, returned 24,639. Also correct. Claude with direct database…
Updated September 15, 2026
Semantic Layers Are Still the Missing Piece in Generative AnalyticsAsk your AI what churn was last quarter, and it will give you a number. It won't tell you whether that's logo churn or revenue churn, or whether it includes voluntary cancellations. A human analyst filters all of that without…
Updated August 26, 2026
Why AtScale Is Thriving: AI Can’t Do MathIn October 2025, University of Chicago researchers confirmed that the best AI can't multiply two four-digit numbers, a problem fourth graders do with a pencil. The AI models they tested were wrong a whopping 99% of the time. Strange as…
Updated July 28, 2026
Five Questions Every CDO Should Ask About AI and SemanticsThe 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 labs, Microsoft, Salesforce, Google, and…
Updated July 23, 2026
Don’t Let Microsoft Be Your WardenMicrosoft 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 Power BI semantic models directly.…
Updated July 22, 2026
My Case for the Semantic Layer, Made Live on Atlan’s PodcastI 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 ontologies. We covered a lot of ground,…
Updated August 17, 2026
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 BI tool you run on…
Updated July 13, 2026
One Governed Layer, Now Live Across Excel, Power BI, and Horizon ContextPower 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 announced at Snowflake Summit 2026.…
Updated July 13, 2026
The Real AI Sovereignty Fight Is About MeaningIn 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 that enterprises are handing frontier…
