Just read the article about how veteran factory operators have knowledge that can't be captured in any dataset. they can hear a machine failing before any sensor picks it up, stuff like that.
I work with manufacturers on AI implementation and honestly the article is spot on, but I think it's missing the harder part of the problem. Everyone in the comments is jumping to how do you capture that tacit knowledge with better instrumentation, labeling loops, operator-in-the-loop design, etc. All valid.
But there's a more basic question nobody's asking - why would the operator help you do that?
These are people who've been on the floor for 20+ years and I bet they've seen digital transformation projects come and go. They know how efficiency initiatives usually end and it's not with their job getting easier.
So even when someone genuinely wants to build something that augments them, they're walking into a room full of people who have every reason to be skeptical. And they're not wrong.
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