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Digital Twin: The modern time machine for change processes

The idea of a digital twin is alluring in a virtual world, where all possible decisions can be evaluated - without causing damage or costs, writes Prof. Wil van der Aalst is Professor of Computer Science at RWTH Aachen University and Chief Scientist of Celonis.

Updated July 28, 2022 / Original July 26, 2022

Prof. Wil van der Aalst is Professor of Computer Science at RWTH Aachen University and Chief Scientist of Celonis. Credit: Marike van Pagée

By Wil van der Aalst

Professor of Computer Science, RWTH Aachen University

6 Mins

July 26, 2022 | 11:11 PM BST

Thanks to the wealth of data and sophisticated algorithms at our disposal today, artificial intelligence (AI) and machine learning (ML) are becoming increasingly important. But data-driven algorithms struggle to process contextual information and out-of-scale data points. This could create bottlenecks in supply chains and cause, for example, frustrating instances such as the toilet paper shortage many of us experienced at the beginning of the pandemic.

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Wil van der Aalst

Professor of Computer Science, RWTH Aachen University

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