Due to digitalization, modern machines and systems provide massive quantities of data, which form a significant basis for the optimization of production processes, operations and safety. These data sets, however, grow more and more complex, which renders the simple analysis methods typically used in the past often ineffective. This is one factor driving the rising importance of artificial intelligence (AI) in decision-making processes. The processing and storage capacities required for training and managing AI systems currently are provided mostly by large commercial cloud operations. These platforms, like the algorithm development itself, tend to be geared toward data analysis in the business-to-customer segment.