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Snowflake bets on AI Agents in the next phase of AI race

by CXO Staff
June 3, 2026
in Future, Middle East, News, Region, Tech

Snowflake accelerates the agentic enterprise with new AI, governance, and interoperability innovations

Snowflake bets on AI Agents in the next phase of AI race

Snowflake announced at Snowflake Summit 26 a broad set of innovations that help organisations accelerate the shift to the agentic enterprise. Across Snowflake CoCo, Snowflake CoWork, Snowflake Horizon Catalogue, and Snowflake’s interoperable data platform, Snowflake is helping organisations build, govern, and operationalise AI on a single, connected, and trusted foundation.


As enterprises move from AI experimentation to autonomous systems operating at scale, they need a platform that connects data, business context, governance, and action across the organisation. Snowflake’s latest innovations bring together AI agents, governed enterprise data, semantic understanding, and open interoperability into a unified control plane that enables teams to operationalise AI with confidence.

“The future of enterprise AI will be defined by how well organisations connect intelligence, trusted data, and action across the business,” said Tareq Masoud, Country Manager, UAE, 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.”

Snowflake CoCo redefines enterprise AI development

Snowflake announced major new capabilities for Snowflake CoCo, the coding agent where you build faster, helping builders automate workflows, develop applications, and operationalise AI through simple, outcome-based conversations. 

  • New CoCo innovations expand the experience across desktop, mobile, Slack, VS Code, Claude Code, and Microsoft Excel, enabling builders to work from the tools and environments they already use.
  • Snowflake also introduced Snowflake Datastream, a fully managed streaming service for Apache Kafka® that enables organisations to power real-time AI apps and agents with fresh, continuously flowing data directly within Snowflake.
  • Together, CoCo and Datastream simplify how organisations build and operationalise real-time AI by combining AI-assisted development with governed, real-time data in a single platform.


Snowflake CoWork powers the agentic enterprise
Snowflake also announced new innovations across Snowflake CoWork, the personal agent for knowledge workers to work smarter, helping organisations move faster from insight to impactful action. 

  • New CoWork capabilities, including Cortex Sense, Artifacts, Deep Research, User Skills, and personalisation, help teams interact with enterprise data and AI through a unified, context-aware agent experience.
  • CoWork enables organisations to move beyond reactive question-and-answer experiences toward proactive, personalised intelligence that helps teams automate workflows, accelerate decision-making, and operationalise AI across the business.
  • Snowflake also introduced Cortex Training, extending Snowflake Cortex AI with fully managed infrastructure for customising and training foundation models directly where enterprise data already lives.

Snowflake Horizon Catalogue Creates a Trusted Foundation for Enterprise AI

Snowflake announced innovations across Snowflake Horizon Catalogue that redefine how enterprises govern, contextualise, and secure AI at scale.

  • New capabilities, including Horizon Context, help ensure every person, tool, and AI agent operates from the same trusted business context, while new AI security innovations provide purpose-built controls for governing and securing enterprise AI systems.
  • New security innovations, including Agent Identity and enhancements to Snowflake Trust Centre, help organisations strengthen visibility, governance, and control as they scale AI and autonomous systems across the enterprise.
  • Snowflake also introduced Adaptive Compute, which automatically optimises compute and software resources in real time to deliver fast, efficient AI and application performance at enterprise scale without manual tuning or infrastructure management.

Snowflake advances interoperability without compromise

Snowflake introduced new interoperability capabilities that enable organisations to seamlessly access, govern, share, and act on data across Snowflake, external lakes, and open systems without moving or duplicating data.

  • New interoperability innovations, including support for Apache Iceberg v3, Snowflake Storage for Apache Iceberg Tables, external engine access management, and support for the Iceberg REST Scan Plan API, establish a single, governed foundation for enterprise data and AI.
  • Powered by Snowflake Horizon Catalog and Apache Polaris, these capabilities help organisations securely work from a single, live, governed copy of enterprise data across clouds, tools, engines, and enterprise systems.
  • Snowflake is also enabling organisations to securely interact with their enterprise data through natural language with Snowflake CoCo and Snowflake CoWork, while Automatic Data Agents and Agent Sharing automatically transform shared datasets into conversational AI agents with governance built in.
Tags: AIAI agentsSnowflake
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