The aim of digitized forming processes is to control uncertainties in complex value chains that consist of many individual processes. Here, it is necessary to understand interactions through appropriate analysis of the process chain, to derive process improvements and to apply data-driven approaches for optimization. In particular, the digitization of the process chain in combination with methods of artificial intelligence and machine learning represents a promising approach here. Therefore, various research groups at PtU are following the development of novel sensor concepts, the digitization of conventional forming processes, and the derivation of recommendations for action for the integration of artificial intelligence into industrial practice.