Updated June 11, 2026

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

The fix wasn't a smarter model. It was a semantic layer. 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%…

Posted by: Dave Mariani

Updated May 22, 2026

10 Things We Learned at the 2026 Semantic Layer Summit

Most enterprise AI governance conversations start with LLMs. But when an AI agent returns a wrong answer, the failure usually traces back to a much simpler problem: the business logic behind the answer was never defined in a place the…

Posted by: Dave Mariani

Updated June 11, 2026

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

The fix wasn't a smarter model. It was a semantic layer. 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%…

Posted by: Dave Mariani

Updated May 22, 2026

10 Things We Learned at the 2026 Semantic Layer Summit

Most enterprise AI governance conversations start with LLMs. But when an AI agent returns a wrong answer, the failure usually traces back to a much simpler problem: the business logic behind the answer was never defined in a place the…

Posted by: Dave Mariani
Guide: How to Choose a Semantic Layer
The Ultimate Guide to Choosing a Semantic Layer