Microlearning course on Contextualizing Data For AI is Live Now!

From Raw Data to Reliable Insight

Unlock the power of contextualization in Cognite Data Fusion

Industrial data is often scattered and siloed, making it hard to use, reuse, and scale across operations. That’s where Cognite Data Fusion (CDF) comes in.

This course shows how CDF transforms raw data into a connected, contextualized foundation that fuels AI agents, applications, and decision-making across your organization.

Discover What’s Behind the Data That Drives AI

With Data Workflows, diagram parsing, and the Document Parser, your teams can:

• Automate the ingestion and transformation of raw industrial data
   
• Extract meaningful insights from engineering diagrams and technical documents
   
• Create connections between assets, files, and data models
   
• Build a Contextualized Knowledge Graph that powers AI-driven decisions
   

Explore How It All Comes Together

The course walks through key features like:

• Data Workflows to create reliable, scalable data pipelines
   
• Diagram Parsing to extract relationships from P&IDs and link them to assets
   
• Document Parser to capture structured information and enrich data models
   

Together, these services populate your Core Data Model and form a unified view of operations. Once contextualized, data becomes reusable across AI agents, apps, and third-party tools—no duplication, no silos.

Build Once. Use Everywhere.

With your contextualized data foundation in place:

• Teams stop spending time redoing the same tasks
• Data products become shareable and reusable
• AI agents gain the clarity and context they need to deliver trusted results

Let’s build a smarter and more connected future, one dataset at a time.