Four AI Pillars and a Wide-Open Opportunity
I just got back from the Databricks Data & AI Summit, and I have a lot to unpack. This was the biggest DAIS yet, with 31,309 attendees, and the energy was unmistakable. More importantly, Databricks…
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One Governed Layer, Now Live Across Excel, Power BI, and Horizon Context
Power BI and Excel users can soon query governed Snowflake Semantic Views directly. No mirrored data. No business logic was rebuilt outside the warehouse. That’s the news customers have been asking for and AtScale formally…
The Real AI Sovereignty Fight Is About Meaning
In the last few weeks, the sovereignty conversation has moved from academic to urgent. Palantir’s Alex Karp went on CNBC to explain the logic behind his company’s partnership with NVIDIA and spent 20 minutes arguing…
The Metadata Trap: Why Three "Context" Platforms Can Give You Three Different Answers
A regional VP asks her company’s new AI agent for last quarter’s revenue. It says $42M. Twenty minutes later, a finance analyst asks a different copilot the same question. It says $44M. Both agents are…
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.…
Why ChatGPT Gives Different Answers to the Same Question on Your Business Data
Ask ChatGPT “what was Q1 revenue?” against your warehouse on Monday and you get $42.3M. Ask it the same question on Tuesday and you get $38.1M. Ask it Wednesday with a different phrasing and you…
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…
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…