How process mining improves the things you do not see | Wil van der Aalst | TEDxRWTHAachen
Wil explains his favourite hobby, process mining. He explores the myriad possibilities of how process mining can improve everyday processes around us. Wil van der Aalst is a renowned computer scientist and professor of information systems at RWTH Aachen University in Germany. He is best known for his work on business process management, workflow management, and process mining, which are important areas in the field of information technology.
Van der Aalst was born in the Netherlands in 1966, and he obtained his PhD in computer science from Eindhoven University of Technology in 1992. After completing his doctorate, he joined the faculty at the same university, where he worked until 2003. He then moved to the Technische Universiteit Eindhoven as a full professor, and in 2018, he joined RWTH Aachen University.
Van der Aalst has made significant contributions to the development of process mining, which is a data-driven approach to process analysis that uses event logs to extract process-related information. He has authored several influential books on the topic, including "Process Mining: Data Science in Action" and "Workflow Management: Models, Methods, and Systems."
Van der Aalst has received numerous awards for his contributions to the field of computer science. He is a member of the Royal Netherlands Academy of Arts and Sciences and a fellow of the Association for Computing Machinery. He has also been awarded the IEEE Computer Society Technical Achievement Award, the Humboldt Research Award, and the Knuth Prize.
Van der Aalst is highly regarded for his expertise in process mining, and his work has had a significant impact on the field of business process management. His research has helped organizations to better understand and optimize their business processes, leading to improved efficiency, productivity, and customer satisfaction. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at www.ted.com/tedx
Пікірлер: 13
Excellent talk. Thanks prof Wil van der Aalst.
Amazing speech!
Excellent explaining
Thank you for the video
good explanation!
🎉
"Data goes in, and you learn something on Data... so it's machine learning" huh? isn't machine learning about teaching a machine to learn? Why is it machine learning if only I am learning something based on what a fixed algorithm produced if the algorithm/machine itself didn't learn anything? Other than that - great talk!
@fgjhdhwrtwtrh
10 ай бұрын
He's saying process mining is machine learning in a colloquial sense; something (insights) are being learned from data with a machine. You are right that this isn't the proper scientific definition, which is that an algorithm is learned from data.
@wilvdaalst
5 ай бұрын
It depends on how you define machine learning. Using process discovery, you learn a process model (for example, a Petri net). Such a model can be seen as a function describing a possibly infinite set of process executions (also involving concurrency). One can see this as a classifier for behavior, just like a neural network distinguishes between dog and cat pictures. Process mining is also used to predict the remaining processing time of running cases, predict bottlenecks, predict deviations, etc. There is more to ML/AI/DS than just neural networks and gradient descent and also these techniques use a fixed algorithm :-)
So what is difference process Mining from Process research? Why it is called "mining"?
@johannesweidmann2539
Ай бұрын
It is called mining because it is not just about process analysis but instead about mining these hidden processes from event data.
Too generic
@VoyivodaFTW1
4 ай бұрын
That’s the point. You have to tailor the skill to your use case. It’s like doing a study to break down all the interactions and plug in solutions ad-hoc