AI & Data Analytics Archives

June 1, 2026 / 7 MIN READ

The Real Cost of Data Architecture Technical Debt (And How It Spreads Across Your Business)

The cost of “good enough” data architecture won’t hit your business all at once. That’s what makes it so insidious. When Brian Jones, Senior Director of Data Services at Papa Johns, joined the company, he…

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May 28, 2026 / 2 MIN READ

Snowflake Just Popped 35%. We're Not Surprised. And in a Few Days, You Won't Be Either.

Kevin McLaughlin at The Information had a piece this week we’ve been passing around the office. Snowflake is up 35% on the quarter. Salesforce is down 30% on the year. Kevin makes a strong case…

Posted By: Mark Palmer

June 2, 2026 / 6 MIN READ

Snowflake Partnered with AtScale for a Reason: Your Semantic Layer Is Too Important to Surrender

Snowflake has embedded AtScale as the only semantic layer in its platform, extending Semantic Views to Power BI and Excel, so they get the same accurate metrics your AI gets. Snowflake, whose thousands of customers…

Posted By: Mark Palmer

June 3, 2026 / 4 MIN READ

A Guide to Semantic Layers for Snowflake CoCo and CoWork

How Snowflake Semantic Views reach CoWork, CoCo, Power BI, and Excel without leaving the platform. At Snowflake Summit 26 , Snowflake renamed Cortex Code to CoCo and turned Snowflake Intelligence into CoWork , a personal…

Posted By: Mark Palmer

June 4, 2026 / 8 MIN READ

Snowflake Summit 2026: Governed Semantic Views for CoCo, CoWork, Power BI, and Excel

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…

Posted By: Dave Mariani

June 4, 2026 / 6 MIN READ

Why Semantics, Not Metadata, Are the Key to Business Context for AI

Five 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,…

Posted By: Dave Mariani

June 4, 2026 / 8 MIN READ

AtScale for Snowflake Semantic Views: Governed Metrics, Everywhere Your Business Runs

Executive Summary Snowflake Semantic Views centralize governed metric definitions inside Snowflake, but Microsoft tools like Power BI and Excel do not natively consume those definitions. AtScale for Snowflake Semantic Views XMLA Endpoint extends governed Snowflake…

Posted By: AtScale

June 9, 2026 / 3 MIN READ

A Tech Power Player in the Year the Semantic Layer Broke Through

Chris Lynch has been saying the same thing for years. The market just caught up. For years, I’ve been a board member of AtScale, and Chris Lynch said the same thing with each meeting: AI…

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

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

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The Real Cost of Data Architecture Technical Debt (And How It Spreads Across Your Business)

Snowflake Just Popped 35%. We're Not Surprised. And in a Few Days, You Won't Be Either.

Snowflake Partnered with AtScale for a Reason: Your Semantic Layer Is Too Important to Surrender

A Guide to Semantic Layers for Snowflake CoCo and CoWork

Snowflake Summit 2026: Governed Semantic Views for CoCo, CoWork, Power BI, and Excel

Why Semantics, Not Metadata, Are the Key to Business Context for AI

AtScale for Snowflake Semantic Views: Governed Metrics, Everywhere Your Business Runs

A Tech Power Player in the Year the Semantic Layer Broke Through

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

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