AI for Enterprise Process Transformation

1st International Workshop on

Artificial Intelligence for
Enterprise Process Transformation

@ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

11-14 May, 2021, New Delhi, India

Important Notice: The safety and well-being of all workshop participants is our priority. Depending on the COVID-19 situation, we will have the workshop with PAKDD either as planned in New Delhi, India or as an online event.

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.

Important Dates

Paper Submission
(deadline extended)
: Jan 25, 2021
Feb 8, 2021
Author Notification : Feb 22, 2021
Feb 25, 2021
Camera-Ready Submission : Mar 8, 2021
All deadlines are at 23:59 Pacific Standard Time (PST).

Call for Papers

Workshop Scope

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. 

Topics of Interest

  • Multi-modal process artefacts analysis
  • Causal analysis
  • Methods for decomposing complex processes and orchestrating tasks
  • Methods for transfer learning and generalization across process tasks
  • Bayesian methods for probabilistic process modeling and optimization
  • Game theoretic models for agent cooperation and competition within a process
  • Reinforcement learning (RL) and Multi-Agent RL techniques for process transformation
  • Simulation for enterprise processes
  • Goal driven approaches for process optimization
  • Natural Language Processing in Process Transformation
  • Process Mining using AI techniques
  • Recommender Systems for enterprise processes
  • Explainable AI for enterprise processes
  • Knowledge driven Process Representation
  • Applications of AI including ML, DL and optimization methods, in process transformation,
  • Applications of AI for enrichment of IoT-enabled processes
  • Applications of AI for Blockchain-hosted processes
  • Applications of AI for cloud hosted processes
  • Applications of AI in industry-specific business processes (retail, e-commerce, finance, manufacturing, healthcare)

Submission Instructions

Authors are invited to submit original, previously unpublished research papers.  We will accept different types of contributions:

  • Research papers, up to 12 pages, describing original and novel research work, including research results and evaluations. Research papers should not have been published or submitted for publication concurrently elsewhere.
  • Experience/Industry papers, up to 12 pages, describing experiences with the novel application of AI techniques to enterprise processes. Such papers should include clear descriptions of the motivations underlying the use of AI for Enterprise Process Transformation, the value obtained through the use of AI, and the challenges that needed to be overcome. Experience papers should not have been published or submitted for publication concurrently elsewhere.

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: 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: (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

Organizing Committee

Program Committee

To be announced.

Contact Information

If you have any questions, please feel free to contact Kushal Mukherjee ( or Monika Gupta (