Blog

June 22, 2026 / 7 MIN READ

Semantic Layer Summit Keynote: What It Takes to Make AI Work in the Enterprise

Every 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.”…

Posted By: Dave Mariani

June 23, 2026 / 6 MIN READ

The Architecture Decision That Lets Carrefour’s Metrics Power Both Google Sheets and AI Agents

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…

Posted By: Dave Mariani

June 18, 2026 / 4 MIN READ

A Skill or README Isn't a Semantic Layer

Why not just give the agent a skill? A bunch of people asked this at this week’s Databricks Data + AI Summit . Write down what “revenue” means, drop the skill next to your data,…

Posted By: Mark Palmer

June 18, 2026 / 3 MIN READ

AtScale's CPO Luis Maldonado on What It Actually Takes to Make AI Trustworthy

At Snowflake Summit last week, AtScale Chief Product Officer Luis Maldonado sat down with Ravit on The Ravit Show to talk about the announcement everyone at the conference was asking about, and the deeper problem…

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June 17, 2026 / 5 MIN READ

It's Got to Be the Semantic Layer, Baby

AtScale’s Dave Mariani and Snowflake’s Carl Perry on why governed semantics, not a smarter LLM, is what makes AI agents trustworthy. For years, business intelligence ran on a human workaround. When two reports disagreed about…

Posted By: Mark Palmer

June 11, 2026 / 7 MIN READ

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…

Posted By: Dave Mariani

June 11, 2026 / 3 MIN READ

Power BI Was Built as a Client. Stop Using It as a Foundation.

Microsoft wants to own your semantics. We built the universal layer that keeps them yours. Power BI is a strong BI client. It was never an enterprise semantic layer , and the gap between those…

Posted By: Mark Palmer

June 10, 2026 / 4 MIN READ

Your AI Isn't Expensive. It's Guessing.

Inside a Tier 1 bank’s $9-million-a-year AI rediscovery tax, and the architectural fix that cut compute costs by as much as 21,903x. Every time an analyst at a Tier 1 bank asks, “What was revenue…

Posted By: Mark Palmer

August 20, 2026 / 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

October 20, 2026 / 6 MIN READ

AtScale and OpenAI: The Comprehensive Guide

OpenAI has changed how people work. Enterprise teams use ChatGPT every day to draft, summarize, research, and write code. Building enterprise applications on business data is a harder row to hoe. Ask Codex to build…

Posted By: Mark Palmer

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Blog

Semantic Layer Summit Keynote: What It Takes to Make AI Work in the Enterprise

The Architecture Decision That Lets Carrefour’s Metrics Power Both Google Sheets and AI Agents

A Skill or README Isn't a Semantic Layer

AtScale's CPO Luis Maldonado on What It Actually Takes to Make AI Trustworthy

It's Got to Be the Semantic Layer, Baby

How Anthropic's AI Accuracy Went from 21% to 95%

Power BI Was Built as a Client. Stop Using It as a Foundation.

Your AI Isn't Expensive. It's Guessing.

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

AtScale and OpenAI: The Comprehensive Guide