Prof.dr.ir. Wil van der Aalst is a full professor at RWTH Aachen University leading the Process and Data Science (PADS) group. He is also part-time affiliated with the Fraunhofer-Institut für Angewandte Informationstechnik (FIT) where he leads FIT's Process Mining group and the Technische Universiteit Eindhoven (TU/e). Until December 2017, he was the scientific director of the Data Science Center Eindhoven (DSC/e) and led the Architecture of Information Systems group at TU/e. Since 2003, he holds a part-time position at Queensland University of Technology (QUT). Currently, he is also a distinguished fellow of Fondazione Bruno Kessler (FBK) in Trento and a member of the Board of Governors of Tilburg University. His research interests include process mining, Petri nets, business process management, workflow management, process modeling, and process analysis. Wil van der Aalst has published over 220 journal papers, 20 books (as author or editor), 500 refereed conference/workshop publications, and 75 book chapters. Many of his papers are highly cited (he one of the most cited computer scientists in the world; according to Google Scholar, he has an H-index of 142 and has been cited over 92,000 times) and his ideas have influenced researchers, software developers, and standardization committees working on process support. Next to serving on the editorial boards of over ten scientific journals, he is also playing an advisory role for several companies, including Fluxicon, Celonis, Processgold, and Bright Cape. Van der Aalst received honorary degrees from the Moscow Higher School of Economics (Prof. h.c.), Tsinghua University, and Hasselt University (Dr. h.c.). He is also an elected member of the Royal Netherlands Academy of Arts and Sciences, the Royal Holland Society of Sciences and Humanities, and the Academy of Europe. In 2018, he was awarded an Alexander-von-Humboldt Professorship.
Thank you for visiting the on-demand session for Hybrid Intelligence by Wil van der Aalst. In case the current recording is low quality, please visit the booth for a better version: https://www.tinyurl.com/cbxnydaz
Learning (ML) and Robotic Process Automation (RPA) have lowered the threshold to automate tasks previously done by humans. Yet organizations are struggling to apply ML and RPA, effectively causing many digital transformation initiatives to fail. Process Mining techniques help to decide what should be automated and what not. Interestingly, most processes work best using a combination of human and machine intelligence. Therefore, process management and process automation call for Hybrid Intelligence. In his keynote, Wil van der Aalst (the "Godfather of Process Mining") sheds light on the relation between RPA, Process Mining, and Hybrid Intelligence.