Post by ThoughtSpot

Most AI agents struggle because they lack the context to understand your business. They look at raw tables and make "probabilistic guesses," leaving your team to double-check every answer, or worse, make decisions based on untrustworthy insights. Spotter Semantics is built for the agentic era—combining natural language search tokens with enterprise-grade governance and security. Now, every user can explore complex data and uncover proactive insights with total confidence, knowing the business logic and metric calculations are grounded in a single, governed, verifiable source. It is built to break down silos with a purpose-built modeling language that integrates bi-directionally with the tools you already use, like Snowflake, Databricks, and dbt Labs. By creating a transparent source of truth, you empower every agent and every user in your enterprise to ask complex questions and get verified, actionable answers It’s time to meet Spotter Semantics: https://bit.ly/48YZs6J #AI #DataAnalytics