UPDATED 16:03 EDT / JUNE 02 2026

AI

Snowflake adds new AI services while continuing to build relationships with key model providers

In the era of artificial intelligence, some companies have struggled to adopt artificial intelligence and others have pivoted to an AI framework that has yielded positive results. Snowflake Inc. this week confirmed it’s firmly in the latter category.

The cloud data platform giant took what amounted to a victory lap during its annual Snowflake Summit conference in San Francisco this week following a quarterly earnings report that saw the company increase revenue 33% from a year ago —  and its stock follow suit. In his keynote remarks on Monday, Chief Executive Sridhar Ramaswamy (pictured) offered a succinct explanation for his company’s recent success.

“The model is not your unique advantage. Why? Because your competitor has that model too,” Ramaswamy said. “It’s when you combine models with your data that things begin to shine.”

Framework for interoperable data

Snowflake made a series of announcements today designed to further enable enterprises to combine models with data, covering interoperability, AI governance and application development.

These included a new framework for interoperable data and AI with expanded support for Apache Iceberg. The company added linkages with Apache Iceberg v3 along with Snowflake Storage for Apache Iceberg Tables, enabling users to work across information inside and outside of Snowflake, while minimizing data movement.

Snowflake Executive Vice President Christian Kleinerman at the Snowflake Summit in San Francisco.

“We are as committed as anyone can be that no one feels like they are locked into Snowflake,” Christian Kleinerman, executive vice president of product, during his keynote presentation today. “We are committed to making sure that Snowflake is open and interoperable.”

The company provided new services and support for its two flagship products – Cortex Code and Snowflake Intelligence, both rebranded this week as CoCo and CoWork, respectively. As the coding agent for developers, CoCo now supports desktop and mobile applications, with additional integrations for Slack and Anthropic PBC’s Claude Code.

CoWork has been expanded to serve as a personal work agent, with AI integrations through Model Context Protocol and a Deep Research capability that sources structured and unstructured enterprise data. A new context layer called Cortex Sense equips AI agents with more operational knowledge and business-associated definitions.

“The vision behind CoCo and CoWork is we want very much to be that layer of intelligence,” Ramaswamy said. “They are getting adopted because they are truly joyous products to use in terms of getting things done.”

Embracing frontier AI models

This week’s announcements and Snowflake’s recent earnings momentum offered the picture of a company making a transition from being a data analytics warehouse to becoming a provider of fully managed AI services. Snowflake has assiduously built close relationships with Amazon Web Services Inc., Microsoft Corp. and Google LLC to enable its cloud-based platform. Now it’s doing the same thing with AI frontier model powerhouses Anthropic and OpenAI Group PBC.

“Our commitment to you is to always have the latest and greatest models available to you on Snowflake,” Kleinerman said.

The company formed a $200 million multiyear partnership with OpenAI in February. That same month, Snowflake also launched agentic AI capabilities using enhanced versions of its Cortex Analyst and Cortex Search query tools in combination with Anthropic’s Claude 3.5 Sonnet.

Anthropic President Daniela Amodei at the Snowflake Summit.

Snowflake is keenly aware that its AI strategy will depend heavily on enterprise trust and confidence in how proprietary data will be used and managed. Governance was a key focus on the announcements this week and the message was also reinforced by Anthropic President Daniela Amodei in a joint appearance with Ramaswamy during the conference on Monday.

“We care about developing artificial intelligence responsibly and safely,” Amodei said. “Trust is an accelerant, trust is something that helps you go faster. I just see a lot of potential for that to be one of the building blocks of the future.”

Building system of intelligence

Behind the numerous announcements made by Snowflake this week can be found a significant shift in the firm’s overall direction. As noted by SiliconANGLE’s research analysts, Snowflake is moving up the AI software stack in a bid to become a system of intelligence, the enterprise context layer for organizing data, governance, business logic, and institutional knowledge so humans and agents can take appropriate action.

Evidence for this can be seen in Snowflake’s announcements this week. CoWork now plays a central role in the company’s intent to deliver insights and impactful action for governing enterprise tasks.

“We are in a world of ubiquitous intelligence,” Kleinerman said. “That is what see with Snowflake CoWork. Think of the level of optimization and pace of business that’s going to enable.”

Recent enhancements for Snowflake’s Horizon Catalog include Intent-Driven Governance, a natural-language powered capability that translates business rules into programmatic governance policies. Users can leverage this feature to state goals in plain English and Snowflake will automatically handle the enforcement and audit documentation.

“You express the intent, we take care of the details,” Kleinerman said.

By any measure, this sounds like a full-fledged AI company’s value proposition, a sure indicator of what Snowflake intends to deliver and how it views itself in the enterprise information technology market for 2026. Yet this is also a story that remains to be written as Ramaswamy himself freely acknowledged in a briefing with media and analysts on Monday.

“I think history will unfold itself,” Ramaswamy told the gathering. “There is a little bit of a gold rush here for who can create value for customers faster. Every company needs to understand its core strengths and make sure that everything they build leverages those strengths. Strategy is important, but execution trumps strategy most of the time.”

Photos: Robert Hof/SiliconANGLE

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