This article outlines an enterprise governance and operating model for implementing Snowflake Horizon Context, focusing on organizational challenges rather than technical ones. It proposes a role architecture and RACI matrices to prevent semantic layers from collapsing under their own weight. Key principles include separating domain expertise, technical capability, and approval authority, and treating AI agents as first-class participants with their own service roles. AI
IMPACT Provides a framework for managing AI agents within enterprise data governance, ensuring reliable and governed AI outputs.
RANK_REASON Article discusses implementation and operational models for an existing product, not a new release or significant industry event.
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