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Snowflake and Palantir in strategic AI partnership – delivering enterprise-ready analytics and interoperability

Snowflake and Palantir AI partnership Snowflake and Palantir AI partnership
Snowflake and Palantir announce strategic AI partnership for data analytics and innovation.

Snowflake and Palantir Strengthens its position in enterprise AI through a new strategic partnership that combines Palantir Foundry and AIP with Snowflakes AI Data Cloud. Together, they enable faster, more secure, and more effective data-driven decisions – with flagship customer Eaton as a clear example of how collaboration can transform entire businesses.

Two global technology giants in data and analytics – Snowflake (NYSE: SNOW) and Palantir Technologies Inc. (NASDAQ: PLTR) – has entered into a comprehensive partnership that aims to change how companies and public actors work with AI and data analysis. By integrating Snowflakes AI Data Cloud with Palantir Foundry and Palantir Artificial Intelligence Platform (AIP) gives customers access to a seamless ecosystem for data-driven innovation

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The partnership makes it possible to build scalable, reliable and AI-enabled data pipelines, improve analytics capabilities, and develop new applications with high speed and security. The joint integration between Foundry and Snowflake Iceberg Tables It also provides bidirectional interoperability without the need to duplicate data – reducing both costs and complexity.

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Eaton – first with AI-powered data integration

As the flagship customer for the collaboration, Eaton, one global company in intelligent energy management, first to exploit the new opportunities. Eaton operates in over 175 countries and is now building a unified AI-powered database which collects information from across the organization.

By combining Snowflakes data platform with Palantir's powerful AI tools A secure and scalable source of truth is created that supports everything from governance and analytics to product development and customer experience. The result: faster innovation, better decision-making and more efficient use of resources.

”Visibility, accessibility and usability are key to unlocking the value of our data assets,” says Ross Schalmo, Chief Data Officer at Eaton. ”With the native integration between Snowflake and Palantir, we eliminate tedious data migration tasks and can instead focus on delivering real business outcomes – from pricing and quoting to digital twins and improved field service.”

Three key areas where the partnership creates value

  1. Improved customer experience – Through AI-powered order recommendations and real-time analytics, Eaton and other customers can deliver faster and more accurate services.
  2. More efficient supply chain – The integration connects technology and manufacturing, enabling AI-driven orchestration of the entire production flow – from inventory and quality to on-time delivery.
  3. Full traceability and control – Both platforms' built-in security and compliance capabilities enable end-to-end data governance in both commercial and public environments.

Management perspective: future-proof collaboration

”Bringing together the power of Palantir and Snowflake is a natural fit,” says Mike Gannon, Chief Revenue Officer at Snowflake. ”Together, we are reducing friction for companies looking to build intelligent applications and accelerate their value creation with AI. This partnership gives customers the tools they need to stay ahead of the curve.”

”First-class interoperability means our customers win,” adds Ted Mabrey, global head of commercial operations at Palantir. ”Through our cooperation We are creating the foundation for the AI-driven companies of the future – where Eaton is an inspiring example of how innovation and governance can work together.”

Summary: the data ecosystem of the future

The partnership between Snowflake and Palantir signals a clear shift in the AI ecosystem. By combining their strengths, they create a open, secure and scalable platform that makes it easier for organizations to turn data into value – without compromising governance or security.

For companies in the Nordic countries and Europe, this represents a concrete opportunity to build on existing cloud and data investments while future-proofing their AI strategy.

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