Although artificial intelligence is capable of analyzing vast amounts of production data and providing early warnings about potential equipment failures, the prediction itself is not sufficiently useful.
A specialist requires a deep understanding of the reasons why the model predicts a failure, as well as information on the current cost of repair and the consequences of delaying maintenance for a month.
Thus, for application in the industrial sector, AI must possess not only high accuracy but also be explainable, predictable, and integrated directly into existing workflows.