Snowflake, OpenAI Partner to Embed AI in Data Cloud in $200M Deal – ERP Today
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Snowflake and OpenAI have agreed on a multiyear, $200 million collaboration to embed OpenAI’s advanced intelligence models directly into the Snowflake AI Data Cloud, the companies said on Feb. 2. The partnership is designed to allow enterprises to build AI agents and generate insights from their data within Snowflake’s platforms.
Under the agreement, Snowflake will natively host OpenAI’s frontier intelligence models like GPT‑5.2 inside its AI Data Cloud, enabling customers to query enterprise data using natural language and develop custom AI-powered applications without requiring specialized coding skills.
Sridhar Ramaswamy, Snowflake CEO, said, “By bringing OpenAI models to enterprise data, Snowflake enables organizations to build and deploy AI on top of their most valuable asset using the secure, governed platform they already trust.”
Snowflake’s AI Data Cloud platform is used by more than 12,600 organizations to store, govern and analyze structured and unstructured data. In many enterprise environments, the company’s platform already functions as a central analytics layer alongside ERP and other core operational systems.
Now with this partnership, Snowflake customers will be able to access OpenAI’s AI models through Snowflake Cortex AI functions and Snowflake Intelligence to analyze enterprise data, automate insights generation and support AI-driven applications.
Snowflake and OpenAI said the integration is designed to keep data and AI processing within Snowflake’s governed platform, rather than requiring enterprise data to be moved to external AI services.
The expected impact centers on how AI capabilities are embedded directly within Snowflake’s governed data environment. The companies said the collaboration will support faster rollout of new features built on OpenAI’s Apps SDK, AgentKit and APIs for shared enterprise workflows.
Enterprises can build and run AI agents within Snowflake Cortex AI that reason over structured and unstructured data without moving information outside the platform, while Snowflake Intelligence provides natural-language access to enterprise data for business users.
Snowflake said these capabilities operate within its existing security, continuity and governance framework, and support analysis of text, images and audio alongside traditional tabular data using SQL-based workflows.
Snowflake and OpenAI said companies including Canva and WHOOP, which already run analytics workloads on Snowflake, are starting to use the integrated capabilities for internal data analysis and decision support.
Canva said the integration is helping it manage and activate enterprise data while extending analytics experimentation within Snowflake Cortex AI as its visual AI services scale.
“Speed and precision in decision-making are critical as WHOOP continues to scale,” said Matt Luizzi, senior director of business analytics at WHOOP. “Rolling out Snowflake Intelligence to our employees and developing Cortex Agents has provided a secure and governed way for WHOOP to analyze data and make decisions. With OpenAI’s models available directly within Snowflake Cortex AI, we can further enhance those agents with advanced reasoning and analysis, all while maintaining strong security and governance. This partnership will help us continue to make AI a practical, everyday tool for the business.”
Data platforms are absorbing AI workloads. The Snowflake-OpenAI agreement reflects a broader enterprise trend toward embedding advanced intelligence directly into core data platforms rather than deploying standalone AI systems. Snowflake’s recent expansion of industry-specific AI initiatives, including partnerships focused on the energy sector, illustrates how the company is positioning its data platform to host AI workloads natively across vertical use cases.
AI governance is shifting closer to data control. Running AI models inside a governed data cloud aligns analytics and compliance considerations more tightly with ERP and operational data environments.
Analytics access is becoming more conversational. Natural-language interaction with enterprise data may change how ERP data is consumed, broadening analytics access beyond specialist technical roles.
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This article was autogenerated from a news feed from CDO TIMES selected high quality news and research sources. There was no editorial review conducted beyond that by CDO TIMES staff. Need help with any of the topics in our articles? Schedule your free CDO TIMES Tech Navigator call today to stay ahead of the curve and gain insider advantages to propel your business!
Snowflake and OpenAI have agreed on a multiyear, $200 million collaboration to embed OpenAI’s advanced intelligence models directly into the Snowflake AI Data Cloud, the companies said on Feb. 2. The partnership is designed to allow enterprises to build AI agents and generate insights from their data within Snowflake’s platforms.
Under the agreement, Snowflake will natively host OpenAI’s frontier intelligence models like GPT‑5.2 inside its AI Data Cloud, enabling customers to query enterprise data using natural language and develop custom AI-powered applications without requiring specialized coding skills.
Sridhar Ramaswamy, Snowflake CEO, said, “By bringing OpenAI models to enterprise data, Snowflake enables organizations to build and deploy AI on top of their most valuable asset using the secure, governed platform they already trust.”
Snowflake’s AI Data Cloud platform is used by more than 12,600 organizations to store, govern and analyze structured and unstructured data. In many enterprise environments, the company’s platform already functions as a central analytics layer alongside ERP and other core operational systems.
Now with this partnership, Snowflake customers will be able to access OpenAI’s AI models through Snowflake Cortex AI functions and Snowflake Intelligence to analyze enterprise data, automate insights generation and support AI-driven applications.
Snowflake and OpenAI said the integration is designed to keep data and AI processing within Snowflake’s governed platform, rather than requiring enterprise data to be moved to external AI services.
The expected impact centers on how AI capabilities are embedded directly within Snowflake’s governed data environment. The companies said the collaboration will support faster rollout of new features built on OpenAI’s Apps SDK, AgentKit and APIs for shared enterprise workflows.
Enterprises can build and run AI agents within Snowflake Cortex AI that reason over structured and unstructured data without moving information outside the platform, while Snowflake Intelligence provides natural-language access to enterprise data for business users.
Snowflake said these capabilities operate within its existing security, continuity and governance framework, and support analysis of text, images and audio alongside traditional tabular data using SQL-based workflows.
Snowflake and OpenAI said companies including Canva and WHOOP, which already run analytics workloads on Snowflake, are starting to use the integrated capabilities for internal data analysis and decision support.
Canva said the integration is helping it manage and activate enterprise data while extending analytics experimentation within Snowflake Cortex AI as its visual AI services scale.
“Speed and precision in decision-making are critical as WHOOP continues to scale,” said Matt Luizzi, senior director of business analytics at WHOOP. “Rolling out Snowflake Intelligence to our employees and developing Cortex Agents has provided a secure and governed way for WHOOP to analyze data and make decisions. With OpenAI’s models available directly within Snowflake Cortex AI, we can further enhance those agents with advanced reasoning and analysis, all while maintaining strong security and governance. This partnership will help us continue to make AI a practical, everyday tool for the business.”
Data platforms are absorbing AI workloads. The Snowflake-OpenAI agreement reflects a broader enterprise trend toward embedding advanced intelligence directly into core data platforms rather than deploying standalone AI systems. Snowflake’s recent expansion of industry-specific AI initiatives, including partnerships focused on the energy sector, illustrates how the company is positioning its data platform to host AI workloads natively across vertical use cases.
AI governance is shifting closer to data control. Running AI models inside a governed data cloud aligns analytics and compliance considerations more tightly with ERP and operational data environments.
Analytics access is becoming more conversational. Natural-language interaction with enterprise data may change how ERP data is consumed, broadening analytics access beyond specialist technical roles.
Sign up to our newsletter to receive exclusive and actionable intelligence for the enterprise technology market
source
This article was autogenerated from a news feed from CDO TIMES selected high quality news and research sources. There was no editorial review conducted beyond that by CDO TIMES staff. Need help with any of the topics in our articles? Schedule your free CDO TIMES Tech Navigator call today to stay ahead of the curve and gain insider advantages to propel your business!
