Snowflake Addresses AI Agent Context Layer Challenges

Snowflake is tackling a critical issue in enterprise AI: AI agents providing confident but incorrect answers due to a lack of a unified context layer. As organizations increasingly adopt hybrid retrieval architectures, inconsistent data interpretations across different agents and systems lead to unreliable outputs. Snowflake's new Horizon Context and Cortex Sense system aims to provide a governed, shared definition of business logic, ensuring agents reason over consistent data. This initiative addresses the growing need for trustworthy AI by focusing on the data's semantic meaning rather than just the retrieval speed.