Enterprises continue to move towards automating business processes as they seek to be more cost-effective, reliable, and scalable. Technology-infused services enable them to reduce direct and indirect costs while also reducing human errors and improving productivity. In recent times, Business Process Automation has become an effective way to achieve these goals. The latest trends in automating business processes center around process digitization, process standardization, data integrity checks, workflow automation including robotic process automation, and generating actionable reports, views & interfaces to empower the end-user. The next wave of technology advancements will transform business processes by leveraging recent advances in AI, including Analytics/Machine Learning (ML), Optimization methods, and Automation. The workshop will focus on the theme of advanced AI (including analytics, automation, and optimization) for the transformation of core enterprise processes as well as for other processes, such as Information Technology (IT) processes and software development processes. Both research (theoretical or applied) and real-world application papers are welcome.
The workshop will focus on the theme of applying AI for enterprise process transformation which includes advanced methods for analytics, automation and optimization. Enterprise processes include core business processes as well as other processes such as Information Technology (IT) processes and software development processes, with increasing digitization and automation. Both research (theoretical or applied) and real-world application papers are welcome.
Authors are invited to submit original, previously unpublished research papers. We will accept different types of contributions:
Papers should be written in English, following Springer LNCS style including all text, references, appendices, and figures. Since it is single blind review process, please include author names and affiliations. For formatting instructions and templates, see the Springer Web page: http://www.springer.de/comp/lncs/authors.html. Submitted papers will be evaluated by at least three members of the international program committee. At least one author of each accepted paper must register and participate in the workshop to present the paper. The workshop papers will be included in a LNCS/LNAI post Proceedings of PAKDD Workshops published by Springer .
Submissions should be made via the Easychair system through the AI4EPT submission page available here: https://easychair.org/conferences/?conf=ai4ept2021 (select the track "Workshop on Artificial Intelligence for Enterprise Process Transformation).
The submitted papers must not be previously published anywhere and must not be under consideration by any other conference or journal during the AI4EPT review process.
To be announced.