Snowflake Expands Intelligence and Cortex Code Platforms
Snowflake now offers expanded capabilities in its Snowflake Intelligence and Cortex Code platforms. These changes aim to support users who build and deploy artificial intelligence within Snowflake's ecosystem. Snowflake Intelligence targets general business users. Cortex Code serves developers and technical teams.
A company press release outlines fresh additions to both platforms. These include more connections to third-party software. New automation options appear alongside easier web-based ways to create agentic AI workflows.
Updates to Snowflake Intelligence
Snowflake Intelligence suits non-technical employees. It lets users describe tasks in everyday language to a large language model. The system then carries out those tasks within current business processes. Examples include creating presentations, performing multi-step analyses, and dispatching follow-up messages.
The platform pulls data from internal sources and connected digital assets. This covers structured and unstructured information. External data links through various protocols and ready-made connectors. Queries and workflows stay within set access limits and company rules. This setup avoids data leaks and rule violations.
Fresh interfaces rely on Model Context Protocol, or MCP. Snowflake lists Google Workspace, Jira, and Salesforce, which includes Slack, as compatible systems. An iOS app for Snowflake Intelligence enters public preview shortly.
The platform adapts to individual users over time by tracking their actions. People can store and distribute workflows for repeated use. Extended context windows support personalization. Users avoid repeating detailed prompts for desired outcomes.
These improvements stem from Project SnowWork. Snowflake started this research effort last month. It demonstrated the platform and collected user input on preferred features.
Snowflake provides cloud data services. The company launched publicly in 2020 after years of growth in data warehousing and analytics. Its AI tools build on that base to handle modern workloads.
Enhancements in Cortex Code
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Cortex Code fits enterprise software development groups. AI works well here for routine coding tasks. The press release calls it a coding and orchestration layer. New links reach external data sources like AWS Glue, Databricks, and Postgres.
It connects to additional language models through MCP and Agent Communication Protocol, or ACP. ACP arose alongside Anthropic's MCP in business contexts.
Visual Studio Code users gain a Cortex Code extension soon. It sits in private preview now. A Snowflake plugin for Claude Code advances in development.
Snowflake offers an Agent Software Development Kit for Python and TypeScript. Teams embed Cortex Code features into custom apps.
Cloud Agents enter private preview within Snowsight. This is Snowflake's web interface. Plan Mode allows workflow previews and approvals before AI runs. Snowflake develops tools to reveal steps in long research processes. These help check the model's accuracy.
Adoption and Company Perspective
More than 9,100 customers access Snowflake's AI products each week. Since the launch six months back, over half of Snowflake's customers use Snowflake Intelligence and Cortex Code.
The strategy covers business users and development teams. It strengthens Snowflake's position in technical areas. At the same time, it draws in more general staff. Software connectors, a mobile app, and browser tools expand the user base. Support for common enterprise systems boosts fit for firms with set processes.
Sameer Vuyyuru, chief AI and product officer at Capita, stated: "Snowflake helps us deploy AI securely and with the right governance across highly regulated, citizen-facing services where performance, compliance and trust are critical."
Capita handles public services in regulated fields. Vuyyuru's comment highlights practical benefits in such settings.
Snowflake continues to refine these platforms based on direct input. Features like governance controls and integration options address key enterprise needs.
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