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 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…
Updated June 17, 2026
It’s Got to Be the Semantic Layer, BabyAtScale's Dave Mariani and Snowflake's Carl Perry on why governed semantics, not a smarter LLM, is what makes AI agents trustworthy. For years, business intelligence ran on a human workaround. When two reports disagreed about "revenue," a trained BI analyst…
Updated June 11, 2026
Power BI Was Built as a Client. Stop Using It as a Foundation.Microsoft wants to own your semantics. We built the universal layer that keeps them yours. Power BI is a strong BI client. It was never an enterprise semantic layer, and the gap between those two jobs is now showing up…
Updated June 9, 2026
A Tech Power Player in the Year the Semantic Layer Broke ThroughChris Lynch has been saying the same thing for years. The market just caught up. For years, I’ve been a board member of AtScale, and Chris Lynch said the same thing with each meeting: AI is changing everything for semantic…
Updated June 4, 2026
Why Semantics, Not Metadata, Are the Key to Business Context for AIFive queries. $17.93 with an unguided LLM. Less than a tenth of a cent with a semantic layer. That 21,000x cost gap, measured by the commercial banking division of a Tier 1 multinational bank, is what happens when AI has…
Updated June 4, 2026
AtScale for Snowflake Semantic Views: Governed Metrics, Everywhere Your Business RunsExecutive Summary Snowflake Semantic Views centralize governed metric definitions inside Snowflake, but Microsoft tools like Power BI and Excel do not natively consume those definitions. AtScale for Snowflake Semantic Views XMLA Endpoint extends governed Snowflake metrics to Power BI and…
Updated June 4, 2026
Snowflake Summit 2026: Governed Semantic Views for CoCo, CoWork, Power BI, and ExcelHow Snowflake Semantic Views reach CoCo, CoWork, Power BI, and Excel without leaving the platform Executive Summary At Snowflake Summit 2026, Snowflake and AtScale introduced a new way to extend governed Snowflake Semantic Views to CoCo, CoWork, Power BI, and…
Updated June 2, 2026
Snowflake Partnered with AtScale for a Reason: Your Semantic Layer Is Too Important to SurrenderSnowflake has embedded AtScale as the only semantic layer in its platform, extending Semantic Views to Power BI and Excel, so they get the same accurate metrics your AI gets. Snowflake, whose thousands of customers include Capital One, Toyota, and…
Updated May 22, 2026
10 Things We Learned at the 2026 Semantic Layer SummitMost enterprise AI governance conversations start with LLMs. But when an AI agent returns a wrong answer, the failure usually traces back to a much simpler problem: the business logic behind the answer was never defined in a place the…
