Can AI learn thirty years of factory instinct?

​Manufacturing is losing its most experienced people faster than it can replace them. The operators who could feel a process drifting, hours before quality control caught it, are retiring, and juniors inherit the same responsibility with a fraction of the time on the line. Quality control, meanwhile, still reports the defect long after its cause has moved on.

​Hiring, academies, documentation, automation: we'll ask what those answers gave back. But the question is open again because of AI. What a veteran does is correlation, and reproducing it continuously used to mean a research project and a cloud pipeline. Models that learn from a handful of examples and run on a box inside the plant change what is buildable, and manufacturing has barely noticed, least of all for process monitoring rather than end-of-line inspection.

​Less a presentation than a conversation among people who run lines. Expect disagreement, including on where the line sits between assisting an operator and replacing him.

​Who this is for: plant and operations directors, heads of production, quality and process engineering, OT and digital leads. And anyone else the question interests, whatever the job title.

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Federico Baccaredda Boy - Co-Founder and COO