Best practices for digital infrastructure businesses impacted by SVB's collapse
The sudden and unexpected closure of Silicon Valley Bank (SVB), which managed US$212 billion in assets, has sent shockwaves through the financial community hav...
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
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.
Professor of Computer Science, RWTH Aachen University
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