This post was co-authored by Moe Tanabian, Chief Product Officer, Cognite.

Long-time partners Microsoft and Cognite have successfully delivered digital transformation value to industrial customers in energy, industrial carbon management, manufacturing, and renewables globally. In a landmark new collaboration, Cognite and Microsoft are excited to announce an expansion of their strategic partnership to bring enterprise data operations to the generative AI era, from the shop floor all the way to the top floor. For the first time, enterprise and industrial—information technology (IT), operational technology (OT), and engineering technology (ET)—converge for data operations and AI value.

New solutions from Cognite Data Fusion and Microsoft

Cognite, world leader in industrial DataOps software, is collaborating with Microsoft to integrate its flagship product Cognite Data Fusion with Microsoft’s data platform Fabric, to deliver a unified enterprise DataOps solution that spans the full enterprise, with vertical industry capabilities for industrial (such as engineering technology (ET) and OT) data workloads enabled through industrial copilots. Data will be available through both Cognite Data Fusion and Microsoft Fabric for customers to leverage Cognite Data Fusion for driving decisions in asset centric scenarios, for example Asset Performance Optimization, and Fabric to generate insights to run their business.

By combining Cognite’s industry-specific capabilities with Microsoft’s enterprise-scale, AI-focused data platform, this partnership is delivering a state-of-the-art platform that significantly accelerates time to value and scalability for industrial use cases, while addressing the complexities of industrial and enterprise data fragmentation, technology, security, and compliance in the age of AI. By leveraging the strengths of the two companies, we are set to advance the digital transformation of industries worldwide.

“Our collaboration with Microsoft is more than a convergence of platforms; it’s about aligning our vision of empowering industries to drive productivity through digital transformation. Cognite’s robust industrial data operations and contextualization capabilities, combined with the scale and intelligence of Azure, will unlock new frontiers in industrial AI. Our customers have asked us for IT, OT, and ET convergence on DataOps—we are pleased to now offer that together with Microsoft Fabric.”

“At Microsoft, we are pleased to work with industry leaders like Cognite to extend our platforms into specific domains and business processes that are critical to industries like Energy with complex industrial requirements. We are pleased to see Cognite integrate their industrial data operations platform, Cognite Data Fusion, with Microsoft Fabric, Microsoft 365, and the Microsoft OpenAI Service to unlock value in industry verticals such as Industrial Carbon Management.”

The world’s asset intensive industries are going through an unparalleled period of change, moving towards a digital industrial future enabling energy transition and more efficient and sustainable industries.

Cognite has carved out a segment in the industrial sector worldwide as a purveyor of digital transformation, particularly within energy and manufacturing. Its core product, Cognite Data Fusion, is a result of its deep industry insight, offering a platform that not only organizes complex data from a wide variety of industrial (such as OT and ET) sources, but also turns it into actionable intelligence.

The importance of Cognite Data Fusion in industrial data management can be attributed to a number of unique capabilities:

Furthermore, a unique value proposition of Cognite lies in its user-centric approach for industrial domain experts. Cognite Data Fusion stands out for its intuitive interface, allowing users across an organization to leverage industrial data without the need for deep technical expertise. This is even further enhanced by infusing the latest AI services from Microsoft into interfaces and in new offerings like the industrial Cognite Data Fusion copilots that were developed by Cognite in partnership with Microsoft leveraging Azure OpenAI Service, building applications that utilize this contextualized data and provide decision making is even simpler and faster. This democratization of industrial data is pivotal, enabling swift, informed decision-making across all levels of a business.

Prepare your data for AI innovation with Microsoft Fabric—now generally available

Fabric is an end-to-end, unified analytics platform which can meet the demands of modern industrial applications in the age of AI. It is a part of the Microsoft Cloud services, which provides robust support for a variety of use cases—from data storage and management to advanced analytics and machine learning.

The importance of Fabric in decision making applications that combines enterprise, operational, and engineering data can be attributed to several key features:

Elevating the successful multi-year partnership between Microsoft and Cognite, the expanded partnership is structured around a visionary three-horizon approach, ensuring a progressive and strategic collaboration.

The partnership between Microsoft and Cognite is set to converge enterprise and industrial data operations, creating a scalable, AI-driven platform that meets the demands of modern industries. As Moe Tanabian of Cognite puts it, “Together with Microsoft, we are not just engineering a platform but pioneering an ecosystem that propels industrial data operations into a new era.” Matthew Kerner of Microsoft echoes this sentiment, “This is the beginning of a journey that will transform the industrial landscape, leveraging the combined strengths of Cognite Data Fusion and Microsoft Fabric to empower our customers.”

Stay tuned as we continue to innovate and lead the way in converged enterprise and industrial data operations, significantly accelerating time to value and scalability for both enterprise and industrial use cases, unlocking new possibilities and driving business and operational productivity through digital transformation.