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
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 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 15, 2026
The Semantic Wars Are Here. Google, You’re Next.Microsoft started a semantic war with Databricks. The next front is AI. Google customers need a semantic strategy to stay free on both. Microsoft just killed the connector that let Power BI read Databricks’ business metrics. This was the opening…
Updated May 11, 2026
Snowflake, Databricks, AtScale, and Omni, on the same stage, on purposeThe OSI panel airs at the Semantic Layer Summit. Here's what I'm hoping shakes loose. Snowflake and Databricks don't usually sit at the same table. They compete for the same workloads, the same logos, the same line items in the…
Updated May 4, 2026
Microsoft Held Databricks Customers Hostage. Customers Paid the Ransom. Freedom Ends It.Microsoft made a small, deliberate change to the Power BI connector for Azure Databricks (release notes). The change looks technical, but it's really a move to seize control of the semantic layer, where your company defines what revenue, customer, and…
Updated March 26, 2026
Power BI & Excel on Snowflake Without Data Movement | Semantic Layer for AIMost enterprises have already standardized where their data lives. What they haven’t standardized is how that data is interpreted. Power BI and Excel users still rely on a workaround: moving data out of Snowflake into extracts, cubes, or Microsoft Fabric…
