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Data contextualization

The advanced contextualization tools in Cognite Data Fusion let you combine machine learning with a powerful rules engine and your domain expertise to map data from different source systems to each other in a custom data model.

Make data intuitively discoverable, understandable, and comparable independently of its origins, whether it reflects past, real-time, or simulated scenarios.



Industrial data management needs contextualization

Large industrial asset operators dealing with the synthesis of OT and IT data are calling for an enterprise-grade data contextualization solution.
Cognite Data Fusion offers data transformation and automated contextualization services, which enable the development and maintenance of a comprehensive and dynamic industrial knowledge graph.
Guide: How to scale use cases with data contextualization



100x faster. Automate your data relationship discovery

Cognite Data Fusion delivers contextualized data-as-a-service through a combination of machine learning, rules engines, and domain expertise.

Convert unstructured data into structured knowledge by liberating information trapped in documents, diagrams, images, videos, and more. 

Demo: Industrial DataOps for Contextualized Data

Programmatic industrial knowledge graph population

Convert data to knowledge by setting up contextualization pipelines to populate the open Cognite Data Fusion knowledge graph. Leverage pertained machine learning models, state-of-the-art rules engines, and domain expertise to develop solutions quickly and at scale. Reuse the data foundation across solutions and business domains.


Scale solutions with automated use case data schema

Rapid development is only possible with automated use case data schemas, achieved by applying pattern recognition and reinforcement learning. The templates help reduce application complexity directly at the data layer, allowing you to scale data visualization from 1 to 1000 dashboards in hours.


Recognized by industry leaders, endorsed by the research community


Industrial DataOps: IoT Optimized Data Empowering Engineers to Operationalize Data at Scale

“Data workers can leverage Cognite's flexible industrial knowledge graph to model data across IT and OT processes and use the platform's AI-based contextualization service to link and infer relations between data.”

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Contextualized Data and Digital Twins Amplify Digitization Value

“Digitalization success hinges on providing data scientists and developers with access to contextual, meaningful data at their moment of need.”

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Cognite Data Fusion provides contextualization of operational asset data to increase ease of data analytics

“CDF uses a combination of machine learning, rules engines, and subject-matter expertise to create a pipeline of data tagging and labeling so that CDF knowledge graphs are automatically populated.

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