@itsxiaozeng: A semantic layer took Anthropic's data science team from 21% to 95% AI accuracy — and it's the fix most companies skip. If your AI agent keeps getting numbers wrong, it's not the model, it's that it's guessing what your metrics mean. A semantic layer defines every metric once as a single source of truth, so your dashboards, tools, and AI agents all read the same definition. Here's how to make your AI agents accurate and reliable at scale.

Xiao Zeng

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Thursday 30 July 2026 02:44:29 GMT