Updated August 21, 2026
The Missing Third Leg of Every Agentic AI StackEvery architecture diagram I see draws the same three boxes. Sometimes it's Model + RAG + MCP. Sometimes it's Model + MCP + Tools. The labels move around, but the shape never changes. The diagram describes how an agent reaches…
Updated August 20, 2026
The Multi-Cloud Metrics Problem Snowflake, Databricks, and BigQuery Can’t Solve AloneEnterprises 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" number means something different depending…
Updated August 20, 2026
Inside a Real Benchmark: Measuring the Cost of AI on the WarehouseAny AI performance conversation runs the same three tracks: token costs, inference latency, and model accuracy, and all three numbers matter. But once an AI system reaches enterprise data, a fourth system starts determining both cost and performance: the data…
Updated August 19, 2026
The Other Half of Intelligence EfficiencyAI usage isn't the same as AI value. That’s why Snowflake introduced “intelligence efficiency” this week. In a post on Snowflake's blog, CEO Sridhar Ramaswamy laid out how companies are pouring money into AI, and boards want proof it's translating…
Updated August 19, 2026
Anatomy of a Vague Natural Language Prompt: What an Unguided LLM Does to Your Warehouse"What was revenue in the Northeast region last quarter?" At first blush, the query looks simple enough. It reads like something you'd ask an analyst on your team and get an answer back in five minutes. But an LLM can't…
Updated August 6, 2026
Have Meaning, Will Travel: Why Apache Ossie Needs YouHere'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…
Updated July 31, 2026
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…
Updated July 29, 2026
Inside the AtScale and Snowflake Partnership: Why Snowflake Embedded AtScale in Semantic ViewsThe 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…
Updated July 28, 2026
Five Questions Every CDO Should Ask About AI and SemanticsThe 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…
Updated July 23, 2026
Don’t Let Microsoft Be Your WardenMicrosoft 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.…
