Predictive and Prescriptive Process Analytics for Industry 4.0 (P³AI₄)

Join us for an engaging morning of presentations and discussion at the intersection of research and real-world applications in predictive analytics for Industry 4.0.  

This seminar is relevant for researchers, industry practitioners, and students with an interest in artificial intelligence, process mining, and predictive analytics in complex operational environments.  

About the Seminar 

The P³AI₄ project is a multidisciplinary collaboration between universities, a highly diverse transport sector, industrial engineering, and software development companies, bringing together expertise from research and industry to address critical challenges in modern operations. 

ChatGPT's hallucinations may be humorous in most situations but should also give us pause regarding the use of generative AI in more critical domains. An AI assistant being stubborn about its mistakes is not so funny when it affects the operation of public transport or international shipping. Improving model accuracy alone is not enough: we need to guarantee that the models follow constraints set out by domain experts and be able to explain decisions to end-users. 

In this kickoff seminar we will discuss how we plan to tackle these challenges in the P³AI₄ project, by developing a neuro-symbolic approach grounded in process mining research. We will present relevant challenges and opportunities for predictive analytics in the maintenance and operation of the Copenhagen Metro and marine engines developed by Everllence. Finally, we will present some of the latest process mining tools and research that the project will build on and extend. 

Practical Information 

The event is open to all interested participants. 
Coffee and tea will be provided during the break, offering an opportunity for informal discussion and networking.  

Agenda 

09:30 – 09:50 
Predictive and Prescriptive Process Analytics 
Tijs Slaats – University of Copenhagen 

09:50 – 10:10 
Predictive and Prescriptive Maintenance for Public Transport 
Jan Schelhaas – Metroselskabet 

10:10 – 10:30 
Predictive and Prescriptive Maintenance for Marine Engines 
Henrik Andersson - Everllence 

10:30 -10:50 
Coffee break 

10:50 – 11:10 
Interactive Process Model Enhancement 
Morten Marquard - DCR Solutions 

11:10 – 11:30 
Predictive and Prescriptive Process Modelling and Mining 
Andrey Rivkin - Technical University of Denmark 

11:30 – 11:50 
Participatory Data Transformation and Model Refinement 
Thomas Hildebrandt - University of Copenhagen 

11:50 – 12:00 
Closing remarks