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Have Meaning, Will Travel: Why Apache Ossie Needs You
Here's a heretical question worth considering: what if standards are actually beside the point for semantic layers? Apache Ossie was recently announced as the open standard successor to the Open Semantic Interchange (OSI) initiative. Its mission is to create a…
Posted by: Luis Maldonado
AI Isn’t Replacing BI. It’s Finally Finishing the Job.
Will AI replace BI? Consider this: The cloud didn't kill the data warehouse. Self-service didn't kill the dashboard. Donald Farmer, who's watched decades of this cycle repeat, put it to me plainly on the Data-Driven podcast: every generation of data…
Posted by: Dave Mariani
Inside the AtScale and Snowflake Partnership: Why Snowflake Embedded AtScale in Semantic Views
The Snowflake Semantic Views XMLA Endpoint, powered by AtScale, is an integrated product offering. It’s the only semantic solution to have this distinction. It’s not something bolted on the side of Snowflake; it’s the bet Snowflake made on AtScale. The…
Posted by: Mark Palmer
Five Questions Every CDO Should Ask About AI and Semantics
The metrics powering your AI agents right now, like margin per square foot or total economic cost, probably don't belong to you. They belong to whichever platform computes them today. Snowflake, Databricks, the frontier LLM labs, Microsoft, Salesforce, Google, and…
Posted by: Dave Mariani
Don’t Let Microsoft Be Your Warden
Microsoft just made the case for AtScale by playing Warden Norton, the prison boss from "The Shawshank Redemption." On Tuesday, Sara Vredevoogd from Microsoft's Power BI team announced that Microsoft 365 Copilot can now query Power BI semantic models directly.…
Posted by: Mark Palmer, Sofia Jones
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 ontologies. We covered a lot of ground,…
Posted by: Dave Mariani
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 BI tool you run on…
Posted by: Mark Palmer
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 announced at Snowflake Summit 2026.…
Posted by: AtScale
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 that enterprises are handing frontier…
Posted by: Dave Mariani
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 grounded in the company's brand-new…
Posted by: AtScale