Dave is the founder of AtScale and is the Chief Technology Officer. Prior to AtScale, he was VP of Engineering at Klout & at Yahoo! where he built the world’s largest multi-dimensional cube for BI on Hadoop. Mariani is a Big Data visionary & serial entrepreneur.
July 13, 2026
The Real AI Sovereignty Fight Is About MeaningIn 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 that enterprises are handing frontier…
July 9, 2026
Three Companies Solved Their AI Problem Before AI Was the ProblemAn 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 TELUS, Vodafone, and Slickdeals, three…
June 25, 2026
The Semantic Layer’s New JobEighteen 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 data. They need to understand…
June 23, 2026
Four AI Pillars and a Wide-Open OpportunityI 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 came in with a sharpened…
Imagine 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,…
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…
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…
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…
How 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…
May 22, 2026
10 Things We Learned at the 2026 Semantic Layer SummitMost enterprise AI governance conversations start with LLMs. But when an AI agent returns a wrong answer, the failure usually traces back to a much simpler problem: the business logic behind the answer was never defined in a place the…
May 4, 2026
Google Just Made Iceberg the Format Foundation of Compute. Make Sure Your Semantics Are Ready to Travel.What Google announced at Cloud Next wasn't an upgrade. It was a starting gun. Google announced a cross-cloud lakehouse standardized on Apache Iceberg. Not BigQuery's tables. Not a Google format. Iceberg. Open. Sitting in object storage you own. Readable by…
April 30, 2026
BI Tools Keep Trying to Own Your Semantic LayerEvery decade, someone reinvents the BI-embedded model. Every decade, customers end up migrating off it. The semantic layer is the context layer for AI, and putting it inside one BI tool was the original sin. Last week, Omni raised a…