What Is Semantic AI in the World of Data?

This post introduces the concept of Semantic AI in the context of data, explaining how it leverages a semantic layer to provide shared, governed definitions for business terms and metrics. It details the benefits of semantic AI, such as consistent metric definitions, fewer ad hoc requests, business-friendly data access, faster onboarding, and AI readiness. It also outlines how semantic AI works through components like the semantic layer, knowledge graphs, vector embeddings, and NLP, and highlights Hex's integrations with semantic layers from dbt, Cube, Snowflake, and Databricks, as well as its own Modeling Agent for defining measures, dimensions, and joins.