WEBINAR #4: Discovering Digital Process Twins for What-If Analysis with Professor Marlon Dumas
The webinar "Discovering Digital Process Twins for What-If Analysis: A Process Mining Approach" featuring Professor Marlon Dumas, will be delving into the innovative concept of digital process twins, a process mining technique to analyze and optimize business processes.
During the session, their importance of use will be emphasised in conducting what-if analyses and also highlighting how digital process twins can drive efficiency and inform decision-making in various industries.
19 June 2024 | 3:00 - 4:00 p.m. CET
Our Guest
Marlon Dumas Menjivar is a Honduran researcher, computer scientist, and Professor of Software Engineering at the University of Tartu in Estonia, known for his contributions in the field of Business Process Management.
He is also Co-founder of Apromore, the fastest growing provider of process mining and AI-driven process management solutions.
“My ongoing work focuses on combining data mining and formal methods for analysis and monitoring of business processes. My team has developed state-of-the-art methods for several core process mining problems, such as automated process model discovery (cf. BPMN Miner), business process conformance checking (via behavioral alignment) and predictive business process monitoring.”
