1st place: Weidmüller 's 'Industrial AutoML' software enables companies to implement machine learning models independently - without a data scientist. The software guides the user through the process of model development and helps to translate and archive the domain experts' application knowledge into a reliable machine learning application by querying the existing knowledge and combining it with the ML process working in the background.
The Industrial AutoML solution essentially consists of two modules: The 'Model Builder' and the Runtime cover the complete cycle of development, execution and optimization of ML models over their life cycle. It allows the user to create ML solutions for anomaly detection, classification and error prediction.
The second module is the execution environment, which is used to run the ML models in the cloud or even directly on the machine in an on-premise application. The execution environment displays the model results so that the user can implement specific actions.