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Recommended reads
There’s so much information out there, so we’ve collected our favourites
By
XMPro
for
YouTube
A quick recap of the stages of Industrial Revolution - from 1760
By
Mike Elgan
for
Computerworld
An article that seeks to distance metaverse hype from the value of industrial digital twins
By
Dr Michael Grieves
for
IOT Solutions World Congress 2023
The value of Digital Twins can only be realized if Digital Twins and their virtual environment contain the same data and resulting information as their corresponding Physical Twins and real-world environment. This means that the need for more extensive, faster, and richer sensing of the physical world will dramatically increase as valuable use cases proliferate. In addition, we will evolve from working in physical or virtual environments to integrating and working simultaneously in both environments. Dr. Grieves discusses his views on the opportunities and issues of this evolution.
By
Barbara Frei
for
Schneider Electric
An interview with Kaishi Zhang focused on data interoperability relating to industrial automation
By
Dr. Michael Grieves
for
Digital Twin - F1000 Research
This article presents a discussion on how Intelligent Digital Twins (IDTs) will evolve and assist in developing and managing complex systems.
By
JP Romero
for
Venture Beat
Every company today is data-driven or at least claims to be. Business decisions are no longer made based on hunches or anecdotal trends as they were in the past. In this environment, data quality is a necessary conversation.
By
Knut Alicke, Kai Hoberg, Julian Fischer, and Sophia Welter
for
CSCMP's Supply Chain Quarterly
A review of Industry 4.0's impact on the future of the "digital supply chain"
By
Mark Minevich
for
Forbes
This article looks at how intelligent digital twins will be able to improve manufacturing and bring about continuous improvement.
By
Anto Budiardjo, Doug Migliori
for
DIgital Twin Consortium
"Interoperability is critical to enable digital twins to process information from heterogeneous systems. The Digital Twin System Interoperability Framework seeks to address this challenge by facilitating complex system of systems interactions. Examples include scaling a smart building to a smart city to an entire country, or an assembly line to a factory to a global supply chain network,” said Dan Isaacs, CTO, Digital Twin Consortium.
By
Mike Bacidore
for
Control Design
An interview with Aurelien Le sant, CTO Industrial Automation, Schneider Electric
By
Manasi Sakpal
for
Gartner
Leaders must take pragmatic and targeted actions to improve their enterprise data quality if they want to accelerate their organization's digital transformation.
By
Tommaso Spanevello, UNIFE
for
UNIFE - European Rail Industry
This paper sets out principles for the European Commission’s perspective on digital twins applied to the digital transformation of rail.
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