AI-assisted design needs a field-failure feedback loop
By Lucas Assimos
AI is moving deeper into engineering, simulation and product design. That can shorten iteration cycles and help teams evaluate more possibilities before committing to a design. But there is a basic lifecycle problem that can limit how useful those systems become: the evidence created after a product is deployed often never makes it back to the people and models influencing the next design.
Field service generates some of the most valuable information in the product lifecycle. It shows what failed, under what conditions, which diagnostic path was taken, what was changed, what actually restored the asset and whether the repair held under normal use. Yet much of that evidence remains trapped in work orders, technician notes, warranty systems, disconnected diagnostic logs and free-text comments.
If AI-assisted engineering is going to improve from real-world performance, that gap has to close. The next step is not simply collecting more...
Copyright of this story solely belongs to www.expresscomputer.in. To see the full text click HERE
