- Snowflake (SNOW, Financial) introduces AI data agents to simplify enterprise AI and ML workflows at the Snowflake Summit 2025.
- Over 5,200 companies, including BlackRock and Penske Logistics, leverage Snowflake for AI solutions.
- Snowflake Intelligence and Data Science Agent aim to democratize data access and automate ML tasks.
Snowflake (SNOW), renowned for its AI Data Cloud, announced groundbreaking advancements in AI and machine learning (ML) during its annual Snowflake Summit 2025. These innovations, including Snowflake Intelligence and Data Science Agent, aim to facilitate seamless interaction with enterprise data across both technical and non-technical teams.
Snowflake Intelligence is set to offer a public preview soon, providing a unified interface that allows users to interact with data through natural language prompts. This tool enables business users to gain insights from both structured and unstructured data without requiring technical knowledge, thus eliminating operational barriers currently hindering effective decision-making.
Additionally, the private preview of the Data Science Agent promises to revolutionize ML workflows by automating routine tasks, thereby increasing productivity. It leverages advanced AI capabilities to assist data scientists in developing and refining ML models more efficiently.
Currently, over 5,200 companies, including prominent names such as BlackRock, Luminate, and Penske Logistics, are employing Snowflake's technologies to drive AI adoption and transform business operations. The new agentic AI innovations are expected to further bridge the gap between enterprise data and action, promoting an AI-ready ecosystem across industries.
Snowflake's latest offerings are designed to integrate seamlessly with existing infrastructures, ensuring enterprise-grade security, compliance, and data governance. By facilitating direct conversations with data in natural language, these tools position organizations to make smarter, faster decisions.
