On February 13, the workshop “Understanding and Improving Processes with Data Analysis and AI” took place at TUtheSky. More than 40 participants from the fields of healthcare, production, process consulting, funding agencies, ministries, and administration came together to attend the workshop, including both clients and quality assurance officers for data analysis and AI projects. The goal of the workshop was to present ways and methods that make industry processes more resilient, as well as to develop, validate, and scale efficient data analysis and AI applications. The workshop was organized by TU Wien Informatics and TU Wien’s FÖWI (Funding Support & Industry Relations).

The workshop began with a welcome address from the organizers, followed by keynote presentations that demonstrated how data analysis can improve processes, using real-world industry examples. Keynote speakers were Stefan Biffl (Institute of Information Systems Engineering, ISE), Stefan Fenz (ISE), Clemens Heitzinger (ISE, Director of CAIML), Kristof Meixner (ISE), Sebastian Kropatschek (Excellence Center for Digital Production (CDP), and Dietmar Winkler (ISE, CDP).

In the second part, participants were introduced to the procan.do method and its practical applications. Guided by experts, they worked in small groups to gain a deeper understanding of specific production processes. The task was to address a production issue—waste generated during the process—by analyzing available data, identifying gaps, and examining the resources and processes within an existing network. Participants were asked to reflect on questions such as: Do we have data to determine whether this is a real issue or just an outlier? The workshop aimed to help participants better understand their organization’s processes, break down information silos and apply shared knowledge to solve specific production challenges.