Post by ThoughtSpot

Enterprise AI projects stall the moment a model reasons fluently on top of data it doesn't understand. Without a robust semantic layer, an AI agent might pull a metric like 'active_users_v2' but strip away the joins and business logic that give that number meaning. The result? "Confident but wrong" outputs that no data engineer would ever flag. We’re proud to be a Context Layer Partner for Atlan, ensuring your AI agents have the business rules and relationships they need to act correctly. By using Spotter—our agentic AI analyst—to encode complex security and logic into a machine-readable form, you move from "plausible" answers to verified, enterprise-grade insights. Explore the full story: https://bit.ly/4csdCzH