Unlocking Compounding Value: Scaling Intelligence through an Open Industrial AI Ecosystem
Unlocking Compounding Value: Scaling Intelligence through an Open Industrial AI Ecosystem
Most industrial organizations have spent years accumulating operational data across OT, ET, and IT systems. Very little of it compounds - insights generated in one tool don't flow back to the rest of the enterprise, and use cases deployed at one site get rebuilt from scratch at the next.
The root cause isn't the applications. It's the architecture beneath them.
This white paper makes the case for an Industrial System of Intelligence built on an open, living knowledge graph, where every insight - whether from Cognite, a partner, or your own teams - enriches the same foundation. The returns are independently verified: Forrester TEI™ research finds that Cognite customers achieve 465% ROI, $29.4M net present value, and payback in under six months.
Why "Pilot Purgatory" is an architecture problem, not a technology problem - and what the foundation that solves it looks like
How Cognite's Industrial Knowledge Graph enables bidirectional data flow, so insights from tools like Databricks feed back into workflows for field workers to leverage
including how Rockwell's pre-configured domain models deliver outcomes 60–80% faster than custom builds
The quantified value of native AI experiences: $14.5M from faster root cause analysis, $10.5M from reduced time spent finding data, $10.7M from production throughput gains
