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/ 7 MIN READ

Test the Math in Your AI Answers

Executive summary AI evals test what an answer says and how it says it. They rarely test whether the number inside it is right, and that number is what the business acts on. A wrong…

Posted By: Mark Palmer

/ 6 MIN READ

The Missing Third Leg of Every Agentic AI Stack

Every 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…

Posted By: Dave Mariani

/ 5 MIN READ

Inside a Real Benchmark: Measuring the Cost of AI on the Warehouse

Any 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…

Posted By: Dave Mariani

/ 3 MIN READ

The Other Half of Intelligence Efficiency

AI 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,…

Posted By: Dave Mariani

/ 6 MIN READ

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…

Posted By: Luis Maldonado

/ 5 MIN READ

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…

Posted By: Dave Mariani