Manufacturing executives from Ford, Amgen, ArcelorMittal, and others gathered at MIT earlier this month with a surprisingly candid message: the biggest headache in modern manufacturing isn't robots or AI — it's data. As factories digitize and automate at speed, they're drowning in signals they don't yet know how to use.
Magna International CEO Swamy Kotagiri put it bluntly: "Automation, AI, analytics — by themselves, do not create value. They'll only create value when they're applied to a well-defined problem. Otherwise, you're experimenting, not transforming." Ford's Yung Fung echoed this, warning that every robot and AI system on the factory floor produces a signal, and too much data without connectivity between those signals is more of a burden than an asset.
Managing these disparate sources of data is an ongoing task, and manufacturers are getting serious about it. Carpenter Technology, a global alloys maker, hired its first chief digital officer back in 2021 specifically to tackle the challenge of data standardization across its operations.
The consensus from the MIT event was clear: the tools exist, but strategy matters more than technology. Companies that rush to adopt AI without first defining the problem risk wasting enormous resources. The manufacturers winning this race aren't necessarily the ones with the most data — they're the ones who know exactly what to do with it.