Building Trust in ChatGPT with Semantic Layers and Data Plugins

This content explains how to ensure ChatGPT can accurately query complex data by making underlying knowledge accessible to AI agents. It details the use of semantic layers and data plugins to transform scattered domain expertise into shared, reusable skills for reliable decision-making.

- Challenges in trusting AI with complex data queries
- The role of semantic layers in defining entities, metrics, and filters
- Packaging knowledge into shareable data plugins
- Integrating existing semantic layers from tools like Snowflake Cortex or Databricks Genie
- Organizational investment and team focus required for success

This approach is suitable for organizations seeking to standardize data access and improve AI reliability within specific domains.