Global AI data cloud company Snowflake is targeting the corporate artificial intelligence (AI) agent market. The company has enhanced its support for AI app development, knowledge worker tasks, data governance, and open data interoperability.
At the 'Snowflake Summit 26' taking place in San Francisco until June 4, Snowflake unveiled new features for its coding agent 'Snowflake Coco,' personal AI agent 'Snowflake CoWork,' 'Snowflake Horizon Catalog,' and open data and AI interoperability.
The announcement focuses on connecting data, development environments, and security systems within a single platform to enable the practical application of AI agents across enterprises. Snowflake addressed challenges companies face in adopting AI, such as data fragmentation, lack of governance, security control issues, and a shortage of development personnel.
In the development area, Snowflake enhanced the capabilities of its AI coding agent, Coco, which supports enterprise data-based AI development and operations. Coco assists developers in automating data workflows, app development, and AI operations with simple prompts.
Coco supports AI app building by integrating with existing tools such as desktop, mobile, Slack, and VS Code, and combines with DataStream, a fully managed streaming service based on Apache Kafka, to facilitate real-time data-driven AI app development.
In the operational realm, Snowflake has advanced CoWork as a personal AI agent designed for knowledge workers, enhancing its functionality to help companies translate insights into actionable outcomes.
CoWork supports execution tailored to roles and workflows through features like artifacts, Cortex Sense, and personalization. It also facilitates AI model training based on company-specific data through Cortex Training.
Snowflake has also strengthened AI trust and security. The Horizon Catalog integrates governance, business context, and security across corporate data.
Through Horizon Context, Snowflake ensures that users, tools, and AI agents operate based on the same business definitions and data standards. Security features such as agent identity and trust center allow for tracking and managing the access and activities of AI agents.
On the data front, Snowflake has expanded open interoperability. The company supports Apache Iceberg v3 and storage for Iceberg tables, enabling the use of external data lakes and open system data without data movement or duplication. This strategy helps companies build an 'AI-ready' data environment with consistent governance while reducing vendor lock-in.
Christian Kleinerman, Senior Vice President of Product at Snowflake, stated, "With data movement and duplication, it is difficult to keep pace with AI, and data fragmentation is a significant constraint. Snowflake provides a reliable data foundation for teams and AI agents based on interoperability and openness."
* This article has been translated by AI.
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