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/ 4 MIN READ

Microsoft’s About-Face on Semantic Layer Standards

When Snowflake launched the Open Semantic Interchange in September 2025, dozens of companies signed on. Microsoft wasn’t one of them. Power BI’s semantic models stayed in DAX, built for Power BI, while the rest of…

Posted By: Chris Lynch

/ 8 MIN READ

My Case for the Semantic Layer, Made Live on Atlan's Podcast

I 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…

Posted By: Dave Mariani

/ 4 MIN READ

Why I Joined AtScale: The Semantic Layer Inflection Point

Over 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…

Posted By: Mike Wandey

/ 5 MIN READ

Enterprise AI: Separate the Reasoning from the Calculation

At 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.…

Posted By: Jay Schuren

/ 6 MIN READ

The Semantic Layer's New Job

Eighteen 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…

Posted By: Dave Mariani

/ 5 MIN READ

It's Got to Be the Semantic Layer, Baby

AtScale’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…

Posted By: Mark Palmer