NYSE:SNOW

Snowflake Inc. announced it will host its largest-ever user conference, Snowflake Summit 26, from June 1–4 in San Francisco, focusing on the transition of artificial intelligence from experimentation to real-world business applications. The event is expected to gather over 20,000 attendees and feature more than 500 sessions and 200 partners showcasing enterprise AI deployments.

Key highlights include a keynote discussion between Snowflake CEO Sridhar Ramaswamy and Anthropic co-founder Daniela Amodei, alongside presentations from major organizations such as Accenture, Sanofi, and Thomson Reuters. The conference will also introduce new AI-driven innovations, hands-on labs, and industry-specific sessions aimed at demonstrating how companies are scaling AI solutions using Snowflake’s platform.

Source: Snowflake
Snowflake announced major enhancements to its AI platform, expanding Snowflake Intelligence and Cortex Code to position itself as the “control plane” for enterprise AI. The updates aim to help organizations move from AI experimentation to real-world deployment by integrating data, tools, and workflows into a unified system.

Snowflake Intelligence now acts as a personalized AI agent for business users, capable of automating tasks, generating insights, and interacting across enterprise systems such as Slack, Salesforce, and Google Workspace. It can also perform multi-step analysis and deliver contextual, data-driven recommendations.

Meanwhile, Cortex Code expands AI-powered development capabilities, enabling engineers to build, deploy, and manage AI applications across multiple data environments, including external platforms like AWS and Databricks. The tool also integrates with development environments and supports scalable enterprise deployment.

Snowflake said adoption of its AI tools continues to grow, with over 9,100 customers using its AI products weekly, as companies increasingly embed AI into core business operations.
Business Wire
Snowflake announced the launch of Project SnowWork, a new autonomous enterprise AI platform designed to help business users execute complex workflows and accelerate productivity through agentic AI . The platform enables users to complete multi-step tasks—such as generating reports, analyzing data, or building presentations—through simple conversational prompts.

Currently in research preview, Project SnowWork integrates directly with Snowflake’s governed data environment, allowing secure orchestration of data, AI, and enterprise systems. It can plan and execute workflows end-to-end, transforming insights into actionable outcomes without requiring technical expertise.

The launch reflects Snowflake’s broader strategy to evolve from a data platform into a system of action, embedding AI-driven automation into everyday business processes and advancing the concept of the “agentic enterprise.”
Business Wire
Snowflake Inc. announced that Cortex Code CLI, its AI coding agent, is expanding beyond Snowflake-native workflows to support external data systems, starting with dbt and Apache Airflow.

The update enables developers to use Snowflake’s context-aware AI assistant directly within popular data engineering environments, helping build, debug and optimize pipelines across multi-system stacks. New features include expanded AI model choice, enhanced governance controls and enterprise-grade security.

Snowflake is also introducing a standalone monthly subscription for Cortex Code CLI, allowing teams not yet running on Snowflake to access the tool independently of Snowflake compute, lowering adoption barriers.

Source: Business Wire
United Rentals has deployed a new Business Intelligence Agent built on Snowflake to support frontline teams across more than 1,600 branches with faster, data-driven decision-making. The AI-powered agent allows branch managers, sales leaders and regional teams to query financial and operational data in natural language and receive real-time, governed insights, improving speed, consistency and confidence in daily decisions.

The solution is built on Snowflake Intelligence and uses United Rentals’ unified, secure data foundation, ensuring answers are consistent, explainable and aligned with company-defined metrics and access controls. In parallel, United Rentals is using Snowflake Cortex Code to accelerate the development and testing of additional AI agents for use cases such as equipment health and telematics, shortening the path from prototype to production. The initiative highlights how large, geographically distributed industrial organizations can embed trusted AI directly into frontline operations.

Source: Snowflake Inc., Business Wire, February 4, 2026.
Snowflake Inc. unveiled Cortex Code, a Snowflake-native AI coding agent designed to significantly boost enterprise data and AI development productivity by operating with full awareness of an organization’s Snowflake data, governance, and operational context.

Cortex Code enables users to perform complex data engineering, analytics, machine learning, and AI agent–building tasks using simple natural language, while maintaining enterprise-grade security and governance. The tool is available both within the Snowflake platform via Snowsight and locally through the Cortex Code CLI, allowing teams to integrate AI-assisted development into existing workflows and preferred coding environments.

Snowflake also announced new integrations to accelerate end-to-end AI development, including support for vibe coding with v0 by Vercel, agentic web search via Brave Search, and enhanced collaborative Workspaces with shared environments, Snowflake Notebooks, and OpenID Connect authentication. Customers such as Braze, dentsu, LendingTree, United Rentals, and WHOOP are already using Cortex Code to move data and AI projects from experimentation to production more quickly and reliably.

Source: Business Wire
Snowflake Inc. announced new platform innovations designed to make enterprise data AI-ready by default, highlighted by the upcoming general availability of Snowflake Postgres and expanded capabilities for open data interoperability, governance, and resilience.

Snowflake Postgres will allow enterprises to run the world’s most popular database natively inside the Snowflake AI Data Cloud, unifying transactional, analytical, and AI workloads on a single platform. The company said this eliminates complex data pipelines and enables organizations to build applications, analytics, and AI systems directly on live operational data without code changes, while maintaining compatibility with open-source Postgres and Apache Iceberg.

Snowflake also expanded Snowflake Horizon Catalog to improve cross-system data governance and interoperability, enabling customers such as Merck and Motorq to securely access, manage, and govern data across multiple engines and formats without sacrificing policy controls. Additional enhancements include open-format data sharing across Iceberg and Delta Lake, deeper integration with Microsoft OneLake, and new Snowflake Backups to strengthen data resilience against disruptions and security incidents.

The company said the updates are aimed at helping enterprises move AI from experimentation into production by ensuring data remains continuously available, governed, and trusted wherever it resides.

Source: Business Wire
Snowflake Inc. announced a series of enterprise AI innovations, led by the general availability of Semantic View Autopilot, aimed at making AI agents more trustworthy, governed, and scalable in production environments.

Semantic View Autopilot automates the creation, optimization, and governance of semantic views, giving AI agents and analytics tools a shared, consistent understanding of business metrics. Snowflake said the service can cut semantic model creation from days to minutes and reduce AI hallucinations by ensuring agents operate on the same governed business logic across tools such as dbt, Looker, Sigma, and ThoughtSpot.

The company also introduced expanded capabilities across machine learning and agent observability. Snowflake Notebooks, now generally available, integrates with Cortex Code to let users build and deploy end-to-end ML pipelines using natural language prompts. New features such as Online Feature Store and Online Model Inference support real-time model serving at scale, while Cortex Agent Evaluations (generally available soon) enable enterprises to audit, measure, and validate AI agent behavior before production deployment.

Snowflake said the updates strengthen its AI Data Cloud by unifying trust, governance, execution, and cost control, helping enterprises deploy AI systems that are reliable, transparent, and economically sustainable at scale.

Source: Business Wire
Snowflake announced it will release its financial results for the fourth quarter and full year of fiscal year 2026 following the close of the markets on Wednesday, February 25, 2026.
Snowflake and OpenAI announced a multi-year, $200 million partnership to bring enterprise-ready AI capabilities directly to Snowflake’s AI Data Cloud. Under the agreement, OpenAI’s advanced models will be natively available within Snowflake Cortex AI, enabling more than 12,600 global customers to build secure, context-aware AI applications and agents using their proprietary data.

The collaboration includes joint product development and go-to-market efforts aimed at accelerating agentic AI adoption across large enterprises. Companies such as Canva and WHOOP are expected to leverage OpenAI models within Snowflake to enhance decision-making, analytics, and workflow automation while maintaining strict governance and security standards.

Source: Business Wire
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