Updated June 23, 2026
The Architecture Decision That Lets Carrefour’s Metrics Power Both Google Sheets and AI AgentsImagine if every time you created a document in Microsoft Word you couldn’t read it anywhere else. Not as an email, PDF, or Google Doc. Any time you wanted to collaborate with a new team or adopt a new technology,…
Updated June 22, 2026
Semantic Layer Summit Keynote: What It Takes to Make AI Work in the EnterpriseEvery enterprise AI conversation eventually runs into the same wall. Someone pulls up the output from an agent or a natural language query, and someone else in the room says, “That number doesn't look right.” The AI project doesn't have…
Updated June 18, 2026
A Skill or README Isn’t a Semantic LayerWhy not just give the agent a skill? A bunch of people asked this at this week’s Databricks Data + AI Summit. Write down what “revenue” means, drop the skill next to your data, and skip the semantic layer. I…
Updated June 18, 2026
AtScale’s CPO Luis Maldonado on What It Actually Takes to Make AI TrustworthyAt Snowflake Summit last week, AtScale Chief Product Officer Luis Maldonado sat down with Ravit on The Ravit Show to talk about the announcement everyone at the conference was asking about, and the deeper problem it's designed to solve. The…
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
How Anthropic’s AI Accuracy Went from 21% to 95%Anthropic's data science and engineering team runs its internal analytics on Claude, and this week, they published the accuracy figures. Without a semantic layer, the answers were right 21% of the time. With one, accuracy improved to 95%, and some…
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 10, 2026
Your AI Isn’t Expensive. It’s Guessing.Inside a Tier 1 bank's $9-million-a-year AI rediscovery tax, and the architectural fix that cut compute costs by as much as 21,903x. Every time an analyst at a Tier 1 bank asks, "What was revenue in the Northeast last quarter?"…
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…
