The digitization of an ever-increasing number of domains as well as rapidly growing amount of sensor data results in large data, which can be used as a basis for the acquisition of knowledge and the optimization of of processes can serve. In order to use large amounts of data to create decision-relevant Extract information can be used methods of machine learning complex processes are often required in order to determine the best solution for each scenario. methods and parameter configurations.

The AC Data Analytics researches methods for automation the selection of algorithms and the optimization of hyperparameters in the Development process of machine learning solutions. The resulting Insights and solutions are available in the form of a software framework for the to enable users to focus on the remaining creative aspects of the Focus on development.