Lectures, keynotes, tutorials, and research stories on process mining, object-centric process mining, process intelligence, AI, Petri nets, and data science.
A compact entry point before diving into the technical material: why process mining connects real event data with the processes we think we have.
A broad introduction to event data, process models, discovery, conformance checking, applications, and software. A good first stop if you want the whole landscape before zooming in.
Watch on YouTube →Generative AI is powerful, but enterprise reality is not a prompt. These talks connect AI to operational context, event data, and process intelligence.
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Why broken processes still break promises in the age of AI—and why computation grounded in real event data matters.
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A vision for using process mining to guide automation, machine learning, AI, and the digital twin of an organization.
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Cortado and OCPQ in action: query, explore, discover, check, and understand—with the human firmly in the loop.
Watch →Traditional event logs flatten reality into one case notion. OCPM keeps the interacting objects visible and exposes the fabric of real operational processes.
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A tutorial-style introduction to object-centric event data and object-centric process-mining techniques.
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Why a single case notion is often too restrictive and how object-centric analysis provides a richer operational view.
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Connecting object-centric process mining with simulation to better reflect interacting objects and real operational complexity.
Watch →For students, researchers, and practitioners who prefer something more substantial than a five-minute “everything you need to know” video.
A comprehensive lecture series covering process discovery, Petri nets, conformance checking, event data, decision mining, organizational mining, bottleneck analysis, predictive analytics, and more.
Open the full playlist →The top-down and bottom-up introduction to process mining from the RWTH course. From business questions to event data—and back again.
Watch Lecture 1 →Discovery, conceptual modeling, and Petri nets: the machinery underneath the colorful dashboards.
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From directly-follows graphs to the core challenge: discovering a model that adequately describes observed behavior.
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Why simple directly-follows relations are not enough, and why concurrency quickly brings Petri nets into the picture.
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For those who believe process mining should occasionally contain an actual theorem. Surprisingly, it does.
Watch →Good. The YouTube channel contains additional lectures, keynotes, tutorials, research presentations, and course material.
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