4th International Workshop in
Artificial Intelligence for Business Process Management
@ Business Process Management Conference (BPM), 13-18 September 2020, Sevilla, Spain
Information about COVID-19 from BPM 2020
"Due to the consequences of the COVID-19 pandemic, we have decided that BPM 2020 will be a fully virtual conference. This means that the entire program, including the research track, workshops, forums, demos, tutorials, panel and doctoral consortium will take place online. Other conference organisation details are available at BPM 2020."
The field of Artificial Intelligence (AI) continues to grow, with new and deeper techniques, and with applications across numerous areas. In the past few years, we have seen strong interest from both industry and academia in applying AI techniques in the area of Business Process Management (BPM). Indeed, the application of AI is impacting additional areas where process management perspectives and techniques are relevant, including industrial engineering, IoT, and emergency response, to name a few. The use of AI in BPM has been discussed as the next disruptive technology that will touch almost all the business process activities being performed by humans. In some cases, AI will dramatically simplify human interaction with processes, in other cases, it will extensively support humans in the execution of tasks, and, in yet other cases, it will enable full automation of tasks that have traditionally required manual contributions. Over time, AI may lead to entirely new paradigms for business processes and operations. For example, instead of BPM models centered on process or on case management, we anticipate models that are based fundamentally on goal achievement, as well as we anticipate models that fully enable continuous improvement and adaptation based on experiential learning.
The goal of this workshop is to establish a forum for researchers and professionals interested in understanding, envisioning and discussing the challenges and opportunities of moving from current, largely programmatic approaches for BPM, to emerging forms of AI-enabled BPM.