Snowflake Expands Partnership with Microsoft to Bring Large-Scale Generative AI Models and Increased Machine Learning Capabilities to the Data Cloud

• Snowflake increases investment in Microsoft partnership, focusing on new product integrations with Microsoft’s Azure OpenAI, Azure ML, and more
• The partnership will significantly elevate field collaboration and joint go-to-market initiatives to benefit joint customers, including State Street
• Snowflake and Microsoft will be demonstrating their latest joint product integrations at Snowflake’s annual user conference, Snowflake Summit 2023, June 26-29 live in Las Vegas, Nevada

Snowflake (NYSE: SNOW), the Data Cloud company, today announced an expanded partnership with Microsoft, enabling new product integrations across AI, low code/no code application development, data governance, and more. The two companies will also implement new programs to enhance joint go-to-market strategies and improve field collaboration, bringing joint solutions directly to customers. As part of the partnership, Snowflake will increase its Azure spend commit, with both companies jointly supporting go-to-market efforts.

“Snowflake’s partnership with Microsoft is evolving and focused on improving our field collaboration to help our customers enter the next wave of generative AI,” said Chris Degnan, Chief Revenue Officer, Snowflake. “Our integrations with Microsoft’s generative AI and LLM services will enable joint customers to leverage the latest AI models and frameworks, enhancing the productivity of developers.”

"Microsoft is the most trusted platform in enabling partners and customers to innovate seamlessly and securely, especially in this next generation of AI,” said Judson Althoff, executive vice president and chief commercial officer, Microsoft. “Through our expanded partnership, we will combine Snowflake’s Data Cloud expertise with Microsoft’s cloud technologies and AI capabilities to help customers across industries build intelligent solutions to better manage, understand, and govern their data.”

Snowflake will expand its strategic initiatives with Microsoft to empower data scientists and developers with industry-leading AI solutions, build new integrations between the Data Cloud and Azure ML, and leverage integrations with Azure OpenAI and Microsoft Cognitive Services. With the Azure ML integration, joint customers will be able to accelerate the entire development to production workflow for machine learning with access to the latest frameworks, integrated CI/CD, and more. Additionally, to leverage the latest in AI innovation to build intelligent data products, both companies are committed to working toward enabling Snowflake customers to easily and securely leverage Azure OpenAI and Microsoft Cognitive Services with Snowflake data.

Snowflake will continue to create seamless experiences for customers through new and improved product integrations across complementary Microsoft products. These products include Purview for data governance, Power Apps & Automate for low code/no code application development, Azure Data Factory for ELT, Power BI for data visualization, and more.

“Investment management decision-making depends on timely access to a complex ecosystem of data. Delivering this information to our clients with quality and speed, while simultaneously providing advanced analytical capabilities and a sophisticated user experience is what State Street Alpha is all about,” said John Plansky, Head of State Street Alpha. “Partnering with Microsoft’s Azure Cloud and Snowflake, our teams can bring data together with a natural language question and answer type solution. We are able to aggregate content at scale, integrate it with a large language model, make it available in a secure way, and remove friction for our customers, giving them information in near-real time.”

At Snowflake’s annual user conference, Snowflake Summit 2023, Snowflake and Microsoft will be demonstrating the latest product integrations during the following breakout sessions:

• Scale and Operationalize AI with Snowflake and Azure Machine Learning
  • Tuesday, June 27 from 12 - 12:45pm PST
  • Caesars Palace, Julius 5, Breakout Room #04
• Unified Digital Transformation with Microsoft and Snowflake
  • Tuesday, June 27 from 1:30 - 1:50pm PST
  • Caesars Forum, West Theater B, Theater Room #04
• Predictions on Gen AI and LLMs in the Enterprise
  • Thursday, June 29 from 9 - 9:45am PST
  • Octavius Ballroom

Learn more

• Register to attend Snowflake Summit and learn more about the latest product integrations from Snowflake and Microsoft here.
• Tune in to the Snowflake Summit 2023 keynotes live or on-demand here.
• Stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter.

Forward Looking Statements

This release relates to a strategic partnership between Snowflake Inc. (“Snowflake,” “our,” or “us”) and Microsoft Corp. (“Microsoft”). This release contains express and implied forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, regarding the anticipated benefits of the strategic partnership, and the anticipated impacts of the strategic partnership on our business, products (including those that are under development), financial results, and other aspects of our and Microsoft’s operations. These forward-looking statements are subject to a number of risks, uncertainties, assumptions and other factors that may cause actual results or outcomes to be materially and adversely different from any future results or outcomes expressed or implied by the forward-looking statements. These risks, uncertainties, assumptions, and other factors include, but are not limited to, (i) our and Microsoft’s ability to execute on the strategic partnership and realize the expected benefits of the strategic partnership, (ii) our and Microsoft’s current and prospective customers’ willingness or ability to adopt the solutions that result from the strategic partnership, (iii) our ability to compete effectively, including as a result of actions that our competitors may take in response to the strategic partnership, and (iv) general market and business conditions, downturns, or uncertainty. Further information on these and additional risks, uncertainties, and other factors that could cause actual outcomes and results to differ materially from those included in or contemplated by the forward-looking statements contained in this release are included under the heading “Risk Factors” and elsewhere in Snowflake’s Quarterly Reports on Form 10-Q and Annual Reports on Form 10-K. In light of these risks, uncertainties, assumptions, and other factors, you should not rely on any forward-looking statements as predictions of future events. Forward-looking statements speak only as of the date the statements are made and are based on information available to us at the time those statements are made and/or our management's good faith belief as of that time with respect to future events.

© 2023 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).

About Snowflake

Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 590 of the 2022 Forbes Global 2000 (G2K) as of April 30, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.

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