Semantic Layer Glossary

Snowflake's conversational AI assistant that lets business users ask natural-language questions and get answers governed by Horizon Context and Semantic Views — announced at Summit 2026.

Snowflake's personal work agent (formerly Snowflake Intelligence) that reasons across data, automates multi-step workflows, and takes governed action — built on Horizon Context and Semantic Views.

The ongoing practice of measuring accuracy and compute cost as first-class metrics across AI and analytics workflows, then tuning the semantic layer so the warehouse runs the cheapest correct path for each question.

A native Snowflake database object that defines metrics, dimensions, and relationships inside the warehouse — the governed foundation for Cortex Analyst, CoCo, CoWork, and Cortex Sense.

A readiness framework for assessing whether your Snowflake stack can support governed agentic AI — covering semantic governance, Horizon Context, Semantic Views, and cross-platform consistency.

Snowflake's governed semantic and context layer — built on Horizon Catalog — that stores metric definitions and activates them for CoCo, CoWork, and every Snowflake consumer.

A layer that takes governed business definitions from Snowflake Horizon Context and Semantic Views and makes them usable, consistent, and live across Power BI, Excel, Tableau, and AI agents — without rebuilding logic in each tool.