Snowflake is expanding its AI platform with new features for both business users and developers. The company is rolling out updates to Snowflake Intelligence and Cortex Code, aiming to make AI more accessible and powerful within its data ecosystem. These enhancements include more integrations, automation options, and easier ways to create AI workflows.

Making AI More User-Friendly for Business Teams

Snowflake Intelligence is designed for non-technical users. It allows users to describe tasks in simple language, and the system executes them inside existing workflows. This can include preparing presentations, performing complex analyses, or sending follow-up messages. The goal is to let business teams tap into AI without needing coding skills.

The platform can pull data from both internal sources and external services through pre-built connectors and protocols. It supports structured and unstructured data, making it versatile for different types of information. To ensure data security, access permissions and organizational policies limit what users can do, reducing risks of data leaks or compliance issues.

Enhanced Integration and Personalization Features

Snowflake has introduced new interfaces using the Model Context Protocol (MCP), enabling smoother connections with popular tools like Google Workspace, Jira, Salesforce, and Slack. An iOS app for Snowflake Intelligence is also in development and will soon be available in public preview. These updates aim to make AI more accessible on different devices and platforms.

One of the key improvements is the platform’s ability to learn from user behavior over time. This means workflows can be saved, shared, and reused easily. Longer context windows allow users to interact with the large language model without repeating lengthy prompts, making AI interactions more natural and efficient.

These updates come after feedback from Project SnowWork, a recent initiative to gather user preferences and showcase new features. Snowflake’s focus is on creating a more personalized AI experience that adapts to individual workflows and needs.

Cortex Code Enhances Developer Capabilities

Cortex Code is aimed at enterprise developers, helping them automate coding and orchestration tasks. It acts as a layer that simplifies how developers connect to data sources and external AI models. Recent enhancements include support for AWS Glue, Databricks, and Postgres, expanding its integration options.

The platform can now connect to other language models via MCP and ACP protocols. These protocols facilitate communication between different AI systems and data sources, making it easier for developers to build complex automation workflows.

Overall, Snowflake’s new AI features aim to bridge the gap between technical and non-technical users. By expanding integrations and improving usability, Snowflake wants to make AI a standard part of data management and business operations. These updates highlight the company’s focus on creating flexible, scalable AI tools for a wide range of users and use cases.

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