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How they can go about this became clear in the other presentations: Jörg Drees from Ifakt and Dr. Harald Bauer from Stuttgart University of Applied Sciences outlined the process model for the application of machine learning in industrial practice. A central message of the presentation: "A lot does not always help a lot." For example, in one project, effects occurred in individual data sets that contradicted the process description. In this case, reducing the data led to a significantly improved result.