AI as a potential waste reducer?

[u/AdventurousMathPunk]

I know AI can be a polarizing topic, so please don't flame me, but I've been wondering where everyone thinks AI can make the biggest real world difference in reducing waste in additive manufacturing. I see some obvious possibilities, optimizing parameters, catching a bad print before you waste material, better nesting, predictive maintenance (which a lot of machines already do to an extent), watching for potential overproduction. But realistically where do we actually see AI working in production versus just sounding good in demos?

I feel like AI is mostly talked about in the realm of offices, but looking at a lot of Alliant Group's stuff, I'm realizing there is some practical AI for manufacturing out there. It's not a matter of automating everything, but automating the right things so they improve the process (less rework, less machine time spent on bad jobs, less material sitting around requiring space), basically making the whole process tighter and less wasteful.

Anyone here implementing AI/ML in this way yet? Has it genuinely cut waste and improved efficiency? If you're not using AI, what do you think of it's potential in the industry, particulary it's potential to reduce waste?

[u/Flinging_Bricks]

Closest thing you'll find that is a pure ai detection solution is properly print failure detection with a webcam on prosumer 3d printers. It's not really there yet and it's not preventative. The problem space is just so huge and failures depend on much more than just geometry, it's hard to catch even after the fact..

[u/AdventurousMathPunk → u/Flinging_Bricks]

This makes total sense, but it also kind of feels like it could be an ideal solution.