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    Snowflake Unveils Its Blueprint for the Agentic Enterprise

    Snowflake Unveils Its Blueprint for the Agentic Enterprise

    Snowflake’s latest AI push brings agents, model training and governance together on a single enterprise platform.

    Snowflake Unveils Its Blueprint for the Agentic Enterprise
    Siddharth Jindal··Updated OCTOBER 18, 2026, 7:26 PM
    5 min

    Snowflake announced a series of new AI, governance and interoperability offerings at Snowflake Summit 2026, as the company seeks to help enterprises move from AI experimentation to deploying autonomous systems at scale.

    The company introduced new capabilities across Snowflake CoCo, its AI-powered coding agent, Snowflake CoWork, an AI assistant for knowledge workers, and Snowflake Horizon Catalog, its governance platform.

     It also expanded support for open data architectures, enabling organisations to use and govern data across cloud environments and enterprise systems without duplicating datasets.

    “The future of enterprise AI will be defined by how well organisations connect intelligence, trusted data, and action across the business,” said Vijayant Rai, Managing Director, India at Snowflake.

    “At Snowflake Summit 26, we’re introducing innovations that help power the agentic enterprise, giving organisations a trusted foundation and control plane to build AI faster, operationalise it securely at scale, and enable teams and AI agents to work together from a shared business context wherever data lives,” he added.

    A key focus of the announcements was Snowflake CoCo, formerly known as Cortex Code. The company expanded the coding agent to work across desktop, mobile, Slack, VS Code, Claude Code and Microsoft Excel. Snowflake said the platform allows developers to automate workflows, build applications and operationalise AI using conversational prompts.

    Snowflake also launched Datastream, a managed streaming service for Apache Kafka, designed to bring real-time data into Snowflake for AI applications and agents. The company said the service will allow organisations to build AI systems that operate on continuously updated data.

    For business users, Snowflake introduced new capabilities within Snowflake CoWork, formerly Snowflake Intelligence. Features such as Cortex Sense, Deep Research, Artifacts, User Skills and personalisation are intended to help employees interact with enterprise data through a context-aware AI assistant.

    The company also launched Cortex Training, which provides managed infrastructure for customizing and training foundation models directly within Snowflake's platform.

    On the governance front, Snowflake expanded Horizon Catalog with new features to provide shared business context and oversight for AI systems. The company introduced Horizon Context, which it said helps ensure employees, applications and AI agents operate using the same business definitions and data context.

    Additional security features include Agent Identity and updates to Snowflake Trust Centre, giving organisations greater visibility and control over AI systems and autonomous agents.

    Snowflake also announced Adaptive Compute, a capability that automatically allocates compute and software resources based on workload requirements.

    The company further expanded interoperability support through new capabilities for Apache Iceberg, including support for Iceberg v3, Snowflake Storage for Apache Iceberg Tables, external engine access management and the Iceberg REST Scan Plan API.

    According to Snowflake, these capabilities allow organisations to access and govern data across Snowflake environments, external data lakes and open systems without moving or copying information.

    The company said future integrations will also enable organisations to interact with enterprise data using natural language through CoCo and CoWork, while Automatic Data Agents and Agent Sharing will allow shared datasets to be converted into AI agents with governance controls built in.



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