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Workshop on Business Process Management and Process Mining

Keisha Glori Natalia*, Francesco Leotta, Flavia Monti, Massimo Mecella, Andrea Marrella ( * Celonis, Others: Sapienza University of Rome )

Workshop on Business Process Management and Process Mining

Agenda

 

1. Welcome and Introduction
Giuseppe De Giacomo (University of Oxford)

2. Hands-on Workshop: Process Mining and Background Celonis
Keisha Glori Natalia (Celonis Academic Alliance)

Celonis helps organizations track their internal processes based on digital footprints in IT systems. With this, Celonis has turned into the market leader for Process Intelligence with customers like Unilever, Coca Cola or BMW. Celonis uses Process Mining technology as well as different AI and ML capabilities to reveal insights into what is happening in an organization and to provide direct recommendations. 

In this session you will have hands-on experience on implementing process mining in the Celonis software for a case study and learn how process-oriented data science can facilitate an analytical viewpoint within organizations.  By participating in this workshop you will be hearing directly what Celonis is like, and even get your hands-on experience working on a case study, looking into an Order to Cash process, to reveal insights that lead to direct recommendations on action items with the help of a process mining tool.

Celonis offers free access to their platform for academic use. Workshop attendees are encouraged to register (https://signup.celonis.com/ui/sign-up/get-started) and explore the platform before the workshop.

3. Talk I: Toward Adaptive Business Processes in Smart Manufacturing through Artificial Intelligence

Francesco Leotta, Flavia Monti and Massimo Mecella (Sapienza University of Rome)

Abstract: The concept of smart manufacturing generically denotes the employment of intelligent techniques to improve manufacturing processes, increasing productivity and easing worker's life. This concept is orthogonal to the specific technologies and techniques employed. Nonetheless, the employment of Artificial Intelligence (AI) in this field has always been limited to specific areas (e.g., quality control) due to several factors including limited technical knowledge on the manufacturing side, lack of trust in techniques that are perceived as not reliable and lack of data. In this seminar, we will discuss how AI can be applied to smart manufacturing aiming at adaptiveness and resilience of business processes and supply chains.

4. Balancing Autonomy and Trust to Enable Intelligent Robotic Process Automation

Andrea Marrella (Sapienza University of Rome)

Abstract: Robotic Process Automation (RPA) is a maturing technology that sits between the fields of Business Process Management (BPM) and Artificial Intelligence (AI). RPA allows organizations to automate high-volume and repetitive tasks performed by human operators. These tasks are enacted using a software (SW) robot that works on the applications’ user interfaces (UIs) as the original human operators did. The current generation of RPA tools is driven by predefined rules and manual configurations made by expert users rather than intelligent solutions, making the current practice time-consuming and error-prone. In this talk, we focus on a recent line of research devoted to leveraging the combined use of process mining to evolve RPA from a mere automated technology to a (framed) autonomous solution capable of complex decision-making activities. In this journey, we also conceptualize the notion of trust between humans and SW robots by discussing the research challenges to pioneer new trust-aware solutions that work in partnership with the human workforce and strike the right balance of autonomy and trust for achieving intelligent RPA.

 

General

The workshop will include a hands-on workshop by Celonis as well as two talks about state-of-the-art research (see details below). It will take place on 15 November, 10:00-16:30 at the Wolfson building, and is free to attend to anyone affiliated with the university (students / staff).

If you wish to attend the entire workshop or specific sessions, please email Avi @ avi.shaked@cs.ox.ac.uk and we will send you the detailed calendar invite.

 

 

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