Snowflake Broadens AI Capabilities for Diverse User Groups
Snowflake is advancing its artificial intelligence offerings by expanding two key platforms: Snowflake Intelligence and Cortex Code. This move aims to better serve a wide range of users, from general business professionals to technical developers, facilitating AI integration across the Snowflake ecosystem.
Snowflake Intelligence: Empowering Business Users with AI
Designed for non-technical users, Snowflake Intelligence allows business professionals to execute complex tasks within their existing workflows using natural language commands. Users can request activities such as preparing presentations, conducting multi-step analyses, or sending follow-up messages, with the AI accessing data from internal company resources and connected external sources through pre-built connectors.
The platform emphasizes security and governance by restricting user queries and workflows based on access permissions, minimizing risks of data loss or compliance breaches. Recent updates include new interfaces built on the Model Context Protocol (MCP), enabling integration with popular business tools like Google Workspace, Jira, Salesforce, and Slack.
Additionally, an iOS app for Snowflake Intelligence is entering public preview soon, offering mobile access to AI-powered workflow management. The platform also incorporates personalization features that learn from user behavior, allowing saved workflows to be reused and reducing the need for repetitive prompts thanks to extended context windows.
Cortex Code: Advanced AI Tools for Development Teams
Targeting enterprise software developers, Cortex Code acts as a coding and orchestration layer that integrates AI to assist with lower-level programming tasks. It now supports connections to external data sources such as AWS Glue, Databricks, and Postgres, and can communicate with other language models via MCP and the commerce-focused Agent Communication Protocol (ACP).
Developers using Visual Studio Code will soon access Cortex Code through an extension currently in private preview. In parallel, a Snowflake plugin for Anthropic’s Claude Code is under development. The company also offers an Agent Software Development Kit for Python and TypeScript, enabling teams to embed Cortex Code functionalities into custom applications.
Snowflake is introducing Cloud Agents within Snowsight, its browser-based interface, allowing users to preview and approve AI workflows before execution. The platform is also working on features to increase transparency by showing detailed research steps the AI undertakes to ensure accurate outcomes.
Growing Adoption and Strategic Impacts
Since launching six months ago, Snowflake reports that over half of its 9,100 weekly AI product users utilize Snowflake Intelligence and Cortex Code. This dual approach strengthens Snowflake’s foothold in both the technical and mainstream business markets, expanding the AI platform’s appeal across enterprise functions.
New integrations, mobile applications, and web-based tools are expected to broaden user engagement and support complex enterprise workflows. Sameer Vuyyuru, Chief AI and Product Officer at Capita, highlighted Snowflake’s role in enabling secure AI deployment with proper governance in regulated, citizen-facing services where performance and compliance are critical.
Conclusion
Snowflake’s enhancements to its AI platforms reflect an industry trend of making artificial intelligence more accessible and practical for both business users and developers. By improving integration capabilities, user experience, and governance, Snowflake is positioning itself to meet the growing demands of AI adoption in enterprise environments.
Fonte: ver artigo original
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