Data Modeling for the Agentic Era: Semantics, Speed, and Stewardship

In data analytics, we&rsquo;re facing a paradox. AI agents can theoretically analyze anything, but without the right foundations, they&rsquo;re as likely to hallucinate a metric as to calculate it correctly. They can write SQL in seconds, but will it answer the right business question? They promise autonomous insights, but at what cost to trust and accuracy? These days, everyone is embedding AI…