#Japan #AI #Tokyo #Snowflake #Cortex Code

Snowflake Expands Its AI Control Foundation

On April 21, Snowflake, the AI data cloud company listed on the New York Stock Exchange under the ticker SNOW, announced significant updates to its systems, specifically Snowflake Intelligence and Cortex Code. These enhancements are geared toward evolving the concept of the Agency Enterprise and solidifying Snowflake's position as the control foundation for enterprise AI.

Transforming Business Processes with Snowflake Intelligence

Snowflake Intelligence aims to revolutionize how business users transform insights into actions through personalized, context-aware AI agents. Unlike typical AI assistants, Snowflake Intelligence comprehensively understands the corporate data context while prioritizing governance, security, and reliability. With the recent updates, users can engage with data, reason, and execute actions across various operational systems, thus creating an integrated experience designed for business needs.

Key features introduced include:

• - Automation of Routine Tasks: Through new skill features, users can describe workflows in natural language, allowing Snowflake Intelligence to automate tasks such as preparing presentations, conducting multi-step analyses, and sending follow-up messages. This reduces manual intervention, streamlining operations and facilitating sharing.
• - Integration with Business Tools: The new Model Context Protocol (MCP) connectors will soon allow seamless integration with tools like Gmail, Google Calendar, and Salesforce, enabling users to operate directly within their existing systems.
• - Mobile Access: The upcoming Snowflake Intelligence iOS app will let users query data and execute workflows on the go, increasing accessibility to vital information.
• - Deep Research Capabilities: Utilizing a deep research function, users can receive multi-stage reports with citations for complex inquiries, allowing for enhanced understanding of the 'why' behind data insights, alongside predictive capabilities.
• - Personalization Over Time: Snowflake Intelligence will continuously learn from user behavior to provide increasingly relevant, personalized responses and automate recurring tasks faster, enabling teams to work more efficiently.
• - Reusable and Shareable Outputs: The new Artifacts feature enables users to save and share analyses, visualizations, and workflows. This facilitates the transformation of one-off outputs into reusable insights across the organization.

These advancements stem from direct customer feedback and insights gained from Project SnowWork, a research preview launched last month. Snowflake is committed to integrating AI capabilities that meet evolving customer needs within a broader ecosystem, ensuring that AI deployment remains relevant.

Cortex Code: An All-Encompassing AI Coding Agent

Cortex Code has expanded its functionality to support developers navigating increasingly complex, multi-system data environments. Since its launch in November 2025, over half of Snowflake's customers have actively utilized Cortex Code to boost productivity and innovation.

This latest update broadens Cortex Code's reach across the entire modern data stack, allowing:

• - Building with Data at Hand: Cortex Code now supports various external data systems, including AWS Glue and Databricks, to extend Snowflake's data-native intelligence.
• - Broader Connections with AI Ecosystems: Developers can interface with existing AI agents and workflows through MCP and Agent Communication Protocol (ACP), reducing redundancy and accelerating development.
• - Familiar Development Environments: New VS Code extensions now enable developers to access Cortex Code directly from their preferred coding environments, streamlining the development process.
• - Scaling with Cortex Code: New Python and TypeScript SDKs allow teams to integrate Cortex Code’s capabilities into their applications and workflows, transforming it from a standalone tool to a comprehensive platform.
• - Streamlined Workflows with Snowsight: The introduction of Cloud Agents allows users to execute code and workflows directly through their browsers without the need for local setups.

Ongoing Momentum in AI Adoption

As of now, over 9,100 companies weekly leverage Snowflake's AI products. This number continues to grow as businesses transition from the experimentation to the operational phase of AI implementation. Various industry stakeholders are utilizing Snowflake Intelligence and Cortex Code to accelerate their AI initiatives.

Accenture’s Snowflake Business Group lead, Sree Vadakkepat, described the partnership as driving AI-driven transformations across organizations, facilitating interaction with AI-capable data assets. Meanwhile, Sameer Vuyyuru from Capita highlighted how Snowflake has enabled real-time insights necessary for decision-making and operational efficiency in a governance-focused environment.

Telenav's VP Kumar Maddali noted how their processing of vast data volumes has been streamlined, significantly reducing lead time from days to mere hours. Similarly, United Rentals' Tony Leopold emphasized Snowflake Intelligence’s role in enhancing operational performance analytics across the company’s extensive network.

In conclusion, Snowflake continues to reinforce its commitment to pioneering comprehensive AI solutions that enable users to innovate rapidly while extracting significant value from their data.