Explore insights on the future of Process Mining and Business Process Management from experts including Professor Wil van der Aalst and Matúš Mala, as they discuss innovative technologies and industry challenges.
2025-06-12 10:29:46
A new podcast episode of Die Prozess-Philosophen was published on Jun 12, 2025 with the original title:
Process Intelligence & Object-Centric: A Conversation with Wil van der Aalst
Overview:
This episode features a lively discussion with Professor Wil van der Aalst, a key figure in process mining. The conversation explores advancements in BPM and process intelligence, emphasizing the emerging role of AI and object-centric process mining in enhancing efficiency and understanding processes.
Core content:
- The podcast delves into the evolution of process mining and its significance within business process management (BPM).
- Wil van der Aalst discusses the intersection of AI and process intelligence, arguing for facts-driven decision-making in process improvement.
- He addresses the challenges of data preparation and highlights exciting developments in object-centric process mining for richer context.
- Insights are shared on the educational requirements for future professionals in the field, emphasizing analytical skills over reliance on AI tools.
- The expert notes the need for a balance between innovation in technology and the understanding of processes, warning against unrealistic expectations of new tools.
Learnings:
- Listeners will understand the crucial role of data-driven insights in optimizing business processes through process mining.
- The episode emphasizes the importance of context in utilizing AI effectively within BPM applications.
- Key takeaways include developing analytical skills as essential for professionals entering the process management field.
- Wil van der Aalst underscores the continuous need for process understanding even amidst technological advancements.
- The conversation stimulates thought on how organizations can better prepare their workforce for the evolving landscape of BPM and AI.
The original content was published in German.
