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Industrial Data Fabric: The First Step to Implementing AI for Industry

Extract, contextualize, discover, and manage data from any source system, enabling safe, secure, hallucination-free generative AI. Deliver simple access to complex industrial data for all your data consumers to accelerate solution development from months to weeks.
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The Future is AI: LLMs will be preferred interface to complex industrial data

Keep your Generative AI usage safe and hallucination-free with a data fabric design featuring queryable knowledge graph and dramatically reduced costs, while enabling scalability, speed of development, and data openness.

Cognite Data Fusion’s Industrial Knowledge Graph delivers the world’s first industrial data fabric with active metadata

Get accurate and transparent data management and implement Large Language Models (LLMs) with your industrial data

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Automate

Active metadata populates the Industrial Knowledge Graph and identifies competitive capabilities that should not be shared with LLMs
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Analyze

Metadata analysis across the data fabric to pinpoint code language usage, syntax, and context, thus steering code generation by the LLM
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Learn

The Industrial Knowledge Graph can learn the frequency, form, structure, and processing required by human users for various data management processes
Information

Refine

Enhance prompt engineering by responding to active metadata inputs throughout the design, implementation, and optimization of AI solutions

How it works: It’s All About Context + Discovery

To apply generative AI in industry, you must have a deterministic Industrial Knowledge Graph with real-time data. Cognite Data Fusion® offers market leading data contextualization pipelines for 100x faster knowledge graph population. It also provides Industrial Canvas, an AI-powered, collaborative workspace for data-based planning, troubleshooting, and insights, expediting high-quality decisions by 90%.

Extract

  • Prebuilt extractors to common industrial sources
  • Open APIs, SDKs, and documentation for custom extractors
  • Liberate OT, IT, and engineering data

Contextualize

  • Use AI and machine learning to quickly create relationships between assets, times series, and documents with automation, not manual effort.
  • Build dynamic models for physical assets and processes, delivering real-time intelligence for active decision-making.

Discover

  • One collaborative workspace that uses AI to develop and analyze complex cross data-source scenarios 90% faster
  • Take advantage of LLMs with Retrieval-Augmented Generation (RAG) powered by your own proprietary data, without data leakage.

Manage

  • Use data product practices to provide simple access with strong governance.
  • Connect from edge-to-cloud with granular access controls, data lineage, and quality assurance.
  • Catalog and activate your data across source, domain, and solution data models across your enterprise.

Ready to take the first step to implementing AI for industry?

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