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The simplest answer to this question is almost everywhere. For example, in industry. Here, machine learning is used to reduce production downtime. They arise due to a lack of raw materials, unforeseen breakdowns, etc., and can cost the enterprise millions of rubles. Using machine learning methods, such failures can be significantly reduced. To do this, they regularly take readings from equipment sensors and see which ones lead to costs. Analysis of such information makes it possible to predict when an emergency will occur and how to avoid it. In addition, machine learning is used in production management. The same data from sensors gives specialists food for thought, helping to identify and reduce the percentage of defects, optimize specific stages of the production process, and monitor the condition of equipment.