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…
Updated July 13, 2026
The Metadata Trap: Why Three “Context” Platforms Can Give You Three Different AnswersA regional VP asks her company's new AI agent for last quarter's revenue. It says $42M. Twenty minutes later, a finance analyst asks a different copilot the same question. It says $44M. Both agents are grounded in the company's brand-new…
Updated July 9, 2026
Three Companies Solved Their AI Problem Before AI Was the ProblemAn 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 TELUS, Vodafone, and Slickdeals, three…
Updated July 7, 2026
Why I Joined AtScale: The Semantic Layer Inflection PointOver 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 talk to each other. Many platforms…
Updated July 1, 2026
Enterprise AI: Separate the Reasoning from the CalculationAt 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. The organizations succeeding in production don’t…
Updated June 26, 2026
Why ChatGPT Gives Different Answers to the Same Question on Your Business DataAsk ChatGPT "what was Q1 revenue?" against your warehouse on Monday and you get $42.3M. Ask it the same question on Tuesday and you get $38.1M. Ask it Wednesday with a different phrasing and you get a number that isn't…
Updated June 25, 2026
The Semantic Layer’s New JobEighteen months ago, Blue Yonder’s analytics engineering team made a decision most data organizations haven’t made yet: they stopped being a BI team. They saw what was coming. AI agents don’t just need access to data. They need to understand…
