Keynote "Autonomous Process Execution Management Powered by Process Mining" by Wil van der Aalst for the 12th Chinese Conference on Business Process Management (CBPM 2022).
Companies struggle with the complexity of their processes, and data are often scattered over many tables in different systems. In the past, automation initiatives often failed because complexity was underestimated, and it is impossible to simply replace systems based on high-level process diagrams. The same complexity makes it difficult to apply Machine Learning (ML) and Artificial Intelligence (AI). Yet, organizations urgently need to address their execution gaps: What do organizations expect, and what are they realistically capable of today? These gaps and their root causes can be made visible using process mining. Process Mining is currently the most concrete technology to support the vision embodied by terms such as Hyperautomation and Digital Twin of an Organization (DTO). Process mining helps to focus automation, ML,and AI initiatives. The keynote provides insights to leverage state-of-the-art process mining techniques and turn data into sustainable process improvements. To illustrate these developments, autonomous driving and the six levels defined by the Society of Automotive Engineers (SAE) are used to illustrate the vision of Autonomous Process Execution Management (APEM).
www.processmining.org
www.process-mining-summer-school.org
www.tf-pm.org
www.promtools.org
www.celonis.com/academic-signup
xes-standard.org
ocel-standard.org
www.pads.rwth-aachen.de
www.vdaalst.com