Snowflake announces tools to help businesses adopt agentic AI systems: All details
Snowflake unveiled new AI, governance, and interoperability tools at Snowflake Summit 2026 in San Francisco to help businesses transition from AI experimentation to operational agentic AI systems. Key updates include expanded Snowflake CoCo and CoWork capabilities, Snowflake Datastream for real-time data processing, and governance features like Horizon Context and Agent Identity to ensure secure, scalable AI deployment across enterprise data environments.
Snowflake introduced a suite of AI, governance, and interoperability tools at Snowflake Summit 2026 in San Francisco to accelerate enterprise adoption of agentic AI systems. The updates span Snowflake CoCo, Snowflake CoWork, Snowflake Horizon Catalog, and the company’s data platform, enabling organizations to automate tasks, make decisions, and integrate AI with enterprise data under governed conditions. Snowflake expanded Snowflake CoCo, its AI coding agent, to support Slack, Visual Studio Code, Claude Code, mobile devices, and Microsoft Excel. The company also launched Snowflake Datastream, a managed streaming service for Apache Kafka, designed to power real-time AI applications with continuously updated data. Snowflake CoWork, formerly Snowflake Intelligence, received enhancements like Cortex Sense, Artifacts, Deep Research, and personalized user skills to streamline AI-driven workflows and decision-making. For custom AI model training, Snowflake announced Cortex Training, offering managed infrastructure to fine-tune foundation models directly within its platform. Governance improvements include Horizon Context for shared business context, Agent Identity for AI deployment visibility, and Adaptive Compute to dynamically optimize resources for AI workloads without manual intervention. Interoperability was a focus, with new capabilities like Apache Iceberg v3 support, Snowflake Storage for Iceberg Tables, and external engine access management. These features aim to provide a unified governed layer for enterprise data across clouds, tools, and platforms. Snowflake also introduced Automatic Data Agents and Agent Sharing, converting shared datasets into conversational AI agents while maintaining governance controls. The updates collectively enable natural-language data interactions through Snowflake CoCo and CoWork, reinforcing Snowflake’s vision of an ‘agentic enterprise’ where AI and human teams collaborate seamlessly within a trusted data environment.
This content was automatically generated and/or translated by AI. It may contain inaccuracies. Please refer to the original sources for verification.