One-sentence Explanation
This article introduces Snowflake Horizon Context, a governed meaning layer product for enterprise AI, designed to solve core pain points in enterprise AI applications.
Simple Understanding
You can compare this meaning layer to a “unified translator + compliance steward” for enterprise AI: on one hand, it unifies business terminology and data meanings scattered across departments and systems into standard specifications, preventing AI from making mistakes due to misinterpreting data; on the other hand, it manages data usage permissions in accordance with the enterprise’s compliance rules, preventing unauthorized access to sensitive data.
Applicable Scenarios
- AI development projects in large cross-departmental enterprises to unify data semantic standards across teams
- AI application implementation in industries with strict data compliance requirements, such as finance and healthcare
- Unified data AI analysis and modeling scenarios for group enterprises
Related Concepts
The core concepts involved in this article include: enterprise AI governance, meaning layer (semantic layer), and Snowflake (Snowflake Data Cloud platform).
This content is adapted from the original article published on Towards AI, original link: View Original