AI data cloud company Snowflake has made a series of major announcements at its annual four-day Snowflake Summit 2025 in San Francisco, unveiling a suite of new tools and upgrades aimed at transforming enterprise data usage, compute performance, and AI integration. These innovations are designed to break down data silos, simplify access to advanced analytics, and accelerate decision-making without compromising control, simplicity, or governance.
Among the headline announcements are Snowflake OpenFlow, Standard Warehouse – Generation 2, Adaptive Compute, Snowflake Intelligence, Cortex AISQL, and Cortex Knowledge Extensions. According to Vijayant Rai, Managing Director – India, Snowflake, the updates are “fundamentally redefining what organisations can expect from a modern data platform.” Rai emphasized that these solutions are meant to democratize AI and machine learning workflows, making them easier, more connected, and more trusted—regardless of a user’s technical skill level.
Snowflake OpenFlow, now generally available on AWS, is a multi-modal data ingestion service that allows organizations to connect to nearly any data source. It enables seamless integration across data formats and infrastructures, eliminating the need for fragmented stacks and manual processes. This helps businesses quickly derive value from data and deploy AI-driven solutions at scale.
Snowflake Standard Warehouse – Generation 2, also generally available, introduces next-gen hardware and performance enhancements to Snowflake’s virtual compute environment. It offers significantly faster analytics performance, better usability, and improved price-performance value for enterprise workloads. Complementing this is Snowflake Adaptive Compute, a capability designed to intelligently scale computing resources in response to workload demands, ensuring efficiency and cost control.
Another key innovation is Snowflake Intelligence, which is expected to enter public preview soon. This no-code platform allows both technical and non-technical users to ask questions in natural language and instantly retrieve actionable insights from structured and unstructured data. Powered by leading language models from OpenAI and Anthropic, and supported by Cortex Agents, the tool emphasizes explainability, transparency, and ease of use.
To further support machine learning, Snowflake announced the Data Science Agent, which is entering private preview. This agent, powered by Anthropic’s Claude, acts as an intelligent assistant for data scientists, automating tasks such as data analysis, preparation, feature engineering, and training—streamlining the entire ML workflow.
Expanding its AI capabilities, Snowflake introduced Cortex AISQL and SnowConvert AI. Cortex AISQL allows users to embed generative AI directly into SQL query engines, enabling them to extract deeper insights from multi-modal data and build adaptable AI pipelines. Meanwhile, SnowConvert AI automates the migration of legacy systems to the Snowflake platform, accelerating modernization efforts with minimal manual intervention.
Rounding off the announcements are Cortex Knowledge Extensions, now available on the Snowflake Marketplace. These allow enterprises to enrich their AI applications with proprietary unstructured data from third-party providers, unlocking more advanced use cases and insights.
These announcements reflect Snowflake’s broader mission to bridge the gap between enterprise data and business action in a rapidly evolving AI landscape. With sessions featuring leaders like CEO Sridhar Ramaswamy and Sam Altman of OpenAI, the Summit underscored Snowflake’s commitment to enterprise-grade AI adoption—making AI more scalable, trusted, and impactful for organizations of all kinds.
