How query logs fix AI agent SQL errors

How query logs fix AI agent SQL errors

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than 10,000 tables and no semantic layer to guide routing, the agents had no way to know which data assets matched which business questions.DataHub is releasing a context intelligence layer Thursday that mines existing SQL query history to build a semant…

DataHub Cloud v1 aims to boost analytics agent accuracy

Enterprises could see fewer wrong answers from analytics tools as DataHub Cloud v1 adds trusted context to agents such as Databricks Genie.