The Use of Artificial Intelligence in Industry
About this publication
Panorama publishes an article on the prospects for artificial intelligence in industry. It covers manufacturing optimization, predictive maintenance, automated quality control, and changes to traditional industrial processes.
Dmitry Kotov's role
Dmitry Kotov contributes his view on industrial AI adoption, drawing on his experience building automation systems to explain how production facilities can use machine learning.
Background
Panor publishes professional and trade journals for Russian industry, read by engineers and plant management rather than a technology audience. The bar in that setting is unusually practical: a claim has to survive people who will be responsible for the equipment.
Industrial AI has one dependable application and a great deal of noise around it. Predictive maintenance — inferring an impending failure from vibration, temperature, and current signatures before it happens — is a genuine solved problem with a calculable return, because unplanned downtime has a known hourly cost. Most of the rest depends on data that plants do not have in usable form: unlabelled, inconsistently sampled, and split across systems that were never intended to be read together. The constraint is instrumentation, not modelling.
Originally published on panor.ru in Russian.
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