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 May 2021, 14:00 - 17:30 IST, 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: 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.

Keynotes

Hamid Motahari
Professor of Computer Science at Macquarie University, Australia
Founder and CEO, Technovisor AI

Keynote Title:
Artificial Process Intelligence: AI for Process Automation and Transformation in the Enterprise

Hamid R. Motahari-Nezhad is a technology visionary, innovator and a science scholar with a focus in Artificial Intelligence, Enterprise AI and Business Process Management. He is holding an Honorary Professor of Computer Science position at Department of Computing at Macquarie University, Australia. Most recently, Hamid served as Head of AI Science at EY AI Lab, Palo Alto, in EY Global Technology Innovation where he was leading the global AI Science team working in Document Intelligence and Enterprise AI. His background and interest lies in applied AI, document intelligence, conversational AI, intelligent RPA, and AI in business process management and transformation. Prior to that Hamid was the Research Lead for Cognitive Services at IBM Research, and a member of IBM Academy of Technology, where his research work was focused on cognitive computing, document understanding, cognitive business processes and conversation understanding. He has published more than 100 scholarly papers in various conferences in AI, Web, Business Process Management, IT Services, and in IEEE/ACM journals. Hamid has chaired and organized various events in IEEE, ACM, AAAI, KDD, NeurIPS, BPM, ICSOC and INFORMS conferences and workshops.



Marlon Dumas
Professor of Information Systems at University of Tartu, Estonia
Co-founder of Apromore

Keynote Title:
Process Mining 2.0: From Insights to Actions

Marlon Dumas is a Professor of Information Systems at University of Tartu, Estonia and co-founder of Apromore - a company dedicated to developing open-source process mining solutions. His research focuses on data-driven methods for business process management, including process mining and predictive process monitoring. He is currently recipient of an Advanced Grant from the European Research Council with the mission of developing algorithms for automated identification and assessment of business process improvement opportunities from execution data via AI techniques. During his career, he has published over 200 research publications, 10 US/EU patents, and a textbook (Fundamentals of Business Process Management) used in over 300 universities worldwide.

Accepted Papers

Full Papers

  • Shubham Singh Paliwal, Arushi Jain, Monika Sharma and Lovekesh Vig. Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams
  • Amit Sangroya, Mrinal Rawat, Afaque Mohammed and Rishi Tiwari. ROC Bot: Towards Designing Virtual Command Centre for Energy Management

Note: We have already sent out the notifications to all the authors.

Workshop Schedule

11th May 2021, 14:00 - 17:30 IST, A Virtual Event

14:00 - 14:10 Opening Remarks
14:10 - 15:10 Keynote by Prof. Hamid Motahari
15:10 - 15:30 Paper 1: "ROC Bot: Towards Designing Virtual Command Centre for Energy Management"
15:30 - 15:45 Coffee Break
15:45 - 16:45 Keynote by Prof. Marlon Dumas on "Process Mining 2.0: From Insights to Actions"
16:45 - 17:05 Paper 2: "Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams"
17:05 - 17:30 Closing Remarks and Networking

Organizing Committee

Contact Information

If you have any questions, please feel free to contact Kushal Mukherjee (kushmukh@in.ibm.com) or Monika Gupta (mongup20@in.ibm.com)