Magnitogorsk Iron and Steel Works (MMK) has begun operating a machine learning–based digital system that helps workers control the oxygen levels supplied to its blast furnaces. The system recommends the optimal oxygen levels for the hot blast air in order to improve blast furnace efficiency during the production of cast iron. Until recently, the blast furnace operator made decisions based solely on readings of discrete data. In a dynamic environment, however, those readings may not always be ...