Understanding the complexity and finding certainty in such uncertain times can deliver major operational advantages for any economical, industrial or scientific assets. The operational team are under increasing pressure to optimize performance while minimising risks and increasing productivity. All set against a volatile global backdrop.
A digital twin is a virtual representation — a true-to-reality simulation of physics and materials — of a real-world physical asset or system, which is continuously updated.
Digital twins aren’t just for inanimate objects and people. They can be a virtual representation of computer networking architecture used as a sandbox for cyberattack simulations. They can replicate a fulfillment center process to test out human-robot interactions before activating certain robot functions in live environments. The applications are as wide as the imagination.
Digital twin technology, with data at its core, is helping scientists, engineers, biologist or even economist gain control and understanding over their resources and assets.
By connecting the right people to the right data, the right processes (mathematics and simulation), one can gain greater end-to-end insights. One can quickly identify the actions and strategies needed to deliver sustainable performance improvements.
In this talk, we discuss how Mathematics, data, simulation and AI make digital twins possible.
This video is presented here with the permission of the speakers.
Any downloading, storage, reproduction, and redistribution are strictly prohibited
without the prior permission of the respective speakers.
Go to Full Disclaimer.
This video is archived and disseminated for educational purposes only. It is presented here with the permission of the speakers, who have mandated the means of dissemination.
Statements of fact and opinions expressed are those of the inditextual participants. The HKBU and its Library assume no responsibility for the accuracy, validity, or completeness of the information presented.
Any downloading, storage, reproduction, and redistribution, in part or in whole, are strictly prohibited without the prior permission of the respective speakers. Please strictly observe the copyright law.