Cognite, a global leader in Industrial AI, and Snowflake, the AI Data Cloud company, have announced a strategic partnership aimed at integrating their platforms through a bidirectional, zero-copy data sharing solution. This integration connects Cognite’s Industrial AI and Data Platform, including Cognite Atlas AI and Cognite Data Fusion, with the Snowflake AI Data Cloud. As a result, enterprises gain a unified, single source of truth for industrial intelligence, enabling stakeholders from field operators to executives to drive operational efficiency and generate measurable business value.

“Cognite is a prime example of the power of our connected ecosystem, providing the essential domain specialization needed to transform complex industrial data into high-quality, AI-ready intelligence,” said Kieran Kennedy, Global Vice President, Snowflake.

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Industrial operators and company analysts often require access to the same data to address complex field use cases and implement solutions that improve efficiency across the organization. However, real-time, contextual, and accurate data critical for Industrial AI solutions is frequently buried within raw, siloed, and complex datasets. By integrating their platforms, Cognite and Snowflake create a unified foundation that simplifies access to intelligent industrial data across the enterprise.

The zero-copy data sharing integration allows a seamless, bidirectional flow of AI-ready data between Cognite and Snowflake. Consequently, Snowflake users can access unified, domain-specific industrial data in real time, while insights generated by these users continuously enrich the Cognite platform. This closed loop ensures all stakeholders benefit from trusted, unified, and timely industrial intelligence, boosting operational outcomes.

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Key benefits of this collaboration include:

  • Enabling Reliable Agentic AI: Organizations can expand access to high-quality industrial data, which is crucial for building domain-specific AI agents and applications that solve industrial challenges effectively.
  • Reducing Operational Costs: Companies can eliminate costly data duplication, storage, and complex ETL processes, allowing engineering teams to focus on high-value AI innovation.
  • Leveraging an Open Ecosystem: Snowflake’s Secure Data Sharing and open standards facilitate seamless data exchange, prevent vendor lock-in, and allow customers to combine the best tools for AI, analytics, and data management.

“By directly leveraging the data where it resides, this partnership securely and seamlessly makes Cognite’s real-time, AI-ready industrial data available to consumers in Snowflake,” added Kennedy.

“Snowflake is one of the most important and widely adopted platforms in the enterprise, and this partnership allows enterprise analysts to leverage the intelligent industrial data to solve complex, cross-functional business problems,” said Trygve Rønningen, Head of Global Revenue and Partner Enablement at Cognite. “We are working closely with Snowflake to ensure the effective sharing of industrial data through open standards to drive cost efficiencies across the entire organization. This is how we unlock AI at scale and deliver more value to our joint customers.”

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