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The Multi-Cloud Metrics Problem Snowflake, Databricks, and BigQuery Can't Solve Alone
Enterprises running Snowflake, Databricks, and BigQuery side by side no longer struggle with data movement. Data pipeline tools solved that years ago. Now they have a metrics problem: the same “gross margin” or “active users”…
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…
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…
Three Companies Solved Their AI Problem Before AI Was the Problem
An 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…
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…
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.…
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…
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…
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…
A Tech Power Player in the Year the Semantic Layer Broke Through
Chris 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…