Avathon Watch posted an update
Avathon’s new article describes industrial AI not just spotting problems on factory floors, but increasingly acting on them. Its examples include using camera and sensor data to flag defects and adjust production settings, and using equipment data to predict failures and recommend maintenance.
Why it mattersThat is a useful sketch of where industrial AI might make a practical difference: catching trouble earlier and changing processes before a fault becomes costly. The examples are Avathon’s account of possible applications, not evidence here of a particular factory deployment or newly launched product. The leap from detecting a problem to letting software change how machinery runs is the consequential bit. How much control should factory AI have to make those adjustments without a person signing off?
Discuss: How much control should factory AI have to make production adjustments without a person signing off?
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