Snowflake Intelligence and Data Science Agent Deliver The Next Frontier of Data Agents for Enterprise AI and ML
Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at its annual user conference, Snowflake Summit 2025, new agentic AI innovations that bridge the gap between enterprise data and business action, making AI and ML workflows easy, connected, and trusted for technical and non-technical users alike.
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Business users can now harness AI data agents to analyze, understand, and act on structured and unstructured data with Snowflake Intelligence, without technical overhead
Snowflake Intelligence (public preview soon) offers business users and data professionals a unified conversational experience — powered by intelligent data agents — to ask natural language questions and instantly uncover actionable insights from both structured tables and unstructured documents. Snowflake is also unveiling Data Science Agent (private preview soon), an agentic companion that boosts data scientists’ productivity by automating routine ML model development tasks. These innovations enable users to simplify their AI and ML workflows, democratize access to data across their businesses, and eliminate the technical overhead that slows down business decision-making — all through natural language interactions within Snowflake.
“AI agents are a major leap from traditional automation or chatbots, but in order to deploy them at scale, businesses need an AI-ready information ecosystem. This means enterprises must be able to unite data silos, maintain enterprise-grade security and compliance, and have easy ways to adopt and build agents," said Baris Gultekin, Head of AI, Snowflake. "Snowflake Intelligence breaks down these barriers by democratizing the ability to extract meaningful intelligence from an organization’s entire enterprise data estate — structured and unstructured data alike. This isn't just about accessing data, it's about empowering every employee to make faster, smarter decisions with all of their business context at their fingertips."
“At WHOOP, our mission is to unlock human performance and healthspan, and data is central to everything we do. Snowflake Intelligence marks a big step forward in our ability to be a data-first organization, ensuring that all employees can access insights without relying on analytics teams as the intermediary,” said Matt Luizzi, Sr. Director of Business Analytics, WHOOP. “By eliminating the technical barriers to gleaning the insights we need for decision-making, our analytics teams can now shift from manual data retrieval tasks to more strategic, predictive, and value-generating work.”