The 40% Problem in Industrial AI
Why Many Projects Stall and What Moves Them ForwardEndurance athletes talk about the “40% wall.” It is the point where the body feels spent, even though much more capacity remains. David Goggins uses it to describe…
What Industry Is Starting to Value Differently
For decades, industrial economics was simple. Hardware was expensive. Downtime was expensive. Skilled people were expensive. Decisions, by comparison, were cheap — meetings were free, delays were tolerated, and judgment scaled through hierarchy.That balance is reversing.Today,…
Why Stale Data Is More Dangerous Than Downtime
Most manufacturers track machine health obsessively — vibration, temperature, torque, throughput. Yet the earliest sign of trouble inside a plant rarely starts with the equipment. It starts with the data.At the Honeywell User Group in The Hague, Claudia…
When Industrial AI Learns the Wrong Lessons
Industrial AI learns from history — but in most plants, that history is a mess.Behind every AI pilot, there’s a decade of process data, maintenance logs, and scanned reports that were never designed to work together.…
AI May Be Ready for Manufacturing. But Is Manufacturing Ready for AI?
For the past few years, manufacturers have heard the same message on repeat: AI is ready for industry. But a quieter question is now being asked inside control rooms and boardrooms alike — is industry ready for AI?At…
Industrial AI’s Next Phase: Proof Before Scale
At Infinite Uptime’s CXO Circle in Bangkok, the discussion around industrial AI felt different. The room was filled with people who run plants. They weren’t asking whether AI belongs in manufacturing anymore. They were asking how…
By 2028, Plants Won’t Just Run Themselves—They’ll Tell You Why
In a few short years, the most visible change inside industrial plants won’t be new machinery—it will be silence. No more scribbled shift logs, no frantic data reconciliation between operators, and no confusion over what happened…
The AI Scaling Problem Nobody’s Solving: Why 140 Applications Delivered Zero Scale
Jason Schern, Field CTO at Cognite, reveals the uncomfortable truth about industrial AI: companies are building solutions that can’t scale beyond a single site, and it’s killing their ROI.The 140-to-Zero ProblemDuring a recent audit, a large…
Standardize Before You Scale: A CFO/COO Playbook for Best-of-Breed Without the Bloat
Every plant in a multi-site network ends up with its own stack: different sensors, dashboards, line apps, and even naming conventions. When you start planning for agentic AI—software that can coordinate and recommend actions across operations—the…
The Next Manufacturing Advantage: From Products to Intelligent, Connected Services
Machines and software are everywhere. The next competitive edge no longer comes from owning more of them — it comes from connecting, learning, and evolving faster than the competition. For manufacturers, the challenge is no longer…