digital twin Concepts

Money in the Metaverse: Digital Assets, Online Identities, Spatial Computing and Why Virtual Worlds Mean Real Business

by David G. W. Birch and Victoria Richardson · 28 Apr 2024 · 249pp · 74,201 words

literacy courses for young people. These and other early examples demonstrate the spectrum of virtual worlds that lies ahead of us. This idea of building ‘digital twins’ in the Metaverse is well established but there are people looking to build the other way around! The Spectra project is exploring the idea of

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. Table 1. Building blocks of the industrial metaverse. (Source: Arthur D. Little, July 2023.) Building blocks Industry 4.0 (previous decade) Industrial metaverse (coming decade) Digital twins *** *** IoT *** *** AI ** *** Simulation ** *** Visualization * *** Web3 * ** Edge computing ** *** The more asterisks, the greater the importance. The implementation of such an industrial metaverse is not without its

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the sound and secure digital identity and digital asset structures set out in later chapters, these risks can be made manageable. Case study: Digital Singapore Digital Twin Singapore is a dynamic, 3D digital model of the city-state. It is designed to simulate, visualize and analyse real-world scenarios in a virtual

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environment. The idea of developing a ‘digital twin’ of Singapore was driven by the country’s ambitions to become a ‘Smart Nation’, where digital technologies are harnessed to improve citizens’ lives, create economic

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to combine all relevant data sets, allowing citizens to view and verify information to help inform urban planning. Completed in 2023, it is the first digital twin of an entire country – a highly detailed 3D representation used across government agencies to support decision-making (Walker 2023). The Singapore Land Authority is now

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working on the next stage of the project: a national subsurface digital twin of Singapore. The digital twin’s wide variety of uses include the following. Urban planning. With the digital twin, urban planners can simulate the impact of new infrastructure projects, from skyscrapers to public parks, and make

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and pollution can be tracked, helping in the design of policies for a better living environment. Public services. By integrating data from various sources, the digital twin can help optimize public services like waste collection, public transport, etc. Research and innovation. The platform can be used by researchers, businesses and innovators to

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test new ideas and solutions in a virtual environment before implementing them in the real world. Digital Twin Singapore is an ambitious project, representing a significant step forward in the realm of smart cities. It demonstrates how virtual worlds can be harnessed to

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impact of their choices, making governance more data-driven and allowing a variety of stakeholders to collaborate more effectively using a shared digital platform. The digital twin is a virtual world, not a metaverse, but it demonstrates how real and virtual collaboration can work to create spaces that could then evolve into

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meet these needs and create new revenue streams. And, as John Blicq observes in his book, given the proliferation of data and the investment in digital twins, the longer-term opportunity for insurers is to move from remediation to prevention (Blicq 2022). Digital assets. A few insurers offer coverage for exchange hacks

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(https://tinyurl.com/ytchq6v8). Volpiocelli, G. (2023). Beijing is coming for the metaverse. Politico, 28 August (https://politi.co/44wQkkK). Walker, A. (2023). Singapore’s digital twin – from science fiction to hi-tech reality. Infrastructure Global, 29 October (https://tinyurl.com/yksz8wov). Waters, R. (2023). Apple’s mixed reality headset is a

The Future Is Faster Than You Think: How Converging Technologies Are Transforming Business, Industries, and Our Lives

by Peter H. Diamandis and Steven Kotler · 28 Jan 2020 · 501pp · 114,888 words

satin Jimmy Choos sitting in your closet?” asks your friend. No problem. Every piece of physical clothing you own in the real world has a digital twin available in the virtual. You ask, and instantly, you’re wearing them. When you’re done selecting your outfit, the AI pays the bill. While

Infonomics: How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage

by Douglas B. Laney · 4 Sep 2017 · 374pp · 94,508 words

, complete, timely, granular, and unique information sources. The internet of things (IoT) will become the single fastest growing source and most voracious consumer of information. Digital twins that precisely represent models of physical things and their state rely on a variety of metadata, along with condition and event information. 3D printing is

The Fourth Industrial Revolution

by Klaus Schwab · 11 Jan 2016 · 179pp · 43,441 words

applications feasible in standard communication networks – Design of products to be “digitally connectable” – Addition of digital services on top of products – Digital twin provides precise data for monitoring, controlling and predicting – Digital twin becomes active participant in business, information and social processes – Things will be enabled to perceive their environment comprehensively, and react and

Data Action: Using Data for Public Good

by Sarah Williams · 14 Sep 2020

of data that Twitter produces daily.6 Programmers at Google use this data to construct 3D representations of the physical world, often referred to as digital twins, which are used to guide autonomous vehicles on the road. In this virtual environment, autonomous vehicles—or any robot for that matter—can be guided

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Network 82 Digital Matatus project, Nairobi, Kenya 77, 146, 151, 151–152, 154–155, 157, 183, 216 Digital Neighborhoods research project 126–127, 128–129 Digital twins 189 Disabled people, digital tools for 190–191 Doctors Without Borders 80 Domesday Book 2, 3 Do no harm 220–221 Dosemagen, Shannon 70–71

Human + Machine: Reimagining Work in the Age of AI

by Paul R. Daugherty and H. James Wilson · 15 Jan 2018 · 523pp · 61,179 words

transforming the factory floor, not just at BMW and Mercedes-Benz but also at many other large manufacturers. General Electric, for example, has been building “digital twins” of its deployed products, like the turbine blades on a jet engine. The company bases these virtual models on the current conditions of real machinery

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-machine/. General Electric, for example, keeps track of its products in the field using its AI-enabled system called Predix. The system relies on a “digital twin” concept in which all assets of a factory and beyond—from bolt to conveyor belt to turbine blade—are monitored and modeled on a computer

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, now have more data than ever to understand the operations of their systems.7 Reimagined operations. The field data collected also enables GE to build digital twins of its deployed products, like its jet engines. Engineers can then test virtual flights in which the plane experiences cold, heat, dust, rain, and even

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a flock of birds.8 The company is also monitoring ten thousand wind turbines, and their digital twins are helping the turbines to adapt in real time. One valuable insight from an analysis of that data is that, depending on the direction of

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front turbine absorbs less energy, the ones behind it can operate at close to their optimal levels, increasing energy generation overall. This application shows that digital twin technology can be applied beyond a single product to holistically optimize an entire wind farm’s activity. According to GE

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, digital twins could increase wind-farm output by 20 percent and provide $100 million of value over the lifetime of a 100-megawatt wind farm.9 All

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engineer has more data with which to see system successes and failures, which can lead to more creative solutions down the line. And finally, the digital twin models are providing an experimental space that’s vastly larger than that in which most engineers play. These models allow engineers to be more creative

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were just notified of unexpected wear and tear inside a turbine. If the notification system is run by GE’s Predix software, which employs the digital-twin concept, you might even hear the alert spoken aloud as a computerized voice: “Operator, a change in my mission is causing damage to my turbine

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to ask the machine smart questions across multiple levels of abstraction. We call this skill intelligent interrogation. As a maintenance worker using the GE’s digital twin, you would start your interrogation with the troubled rotor but quickly scale up, asking questions about operations, process, and financial concerns. You aren’t just

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a rotor expert; with the help of the digital twin, you’ve become an expert of a much more complex system; your knowledge of “how things work” has become ever more important. We describe each

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picture AI can paint for him of his overall operations.12 At GE, it’s not just the turbines and rotors that are modeled by digital-twin software. The software is also modeling workers. By modeling workers’ behaviors and interactions, the software itself can determine how to optimize its own performance. This

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, 2016, https://www.nytimes.com/2016/08/28/technology/ge-the-124-year-old-software-start-up.html. 7.Charles Babcock, “GE Doubles Down on ‘Digital Twins’ for Business Knowledge,” Information Week, October 24, 2016, http://www.informationweek.com/cloud/software-as-a-service/ge-doubles-down-on

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-digital-twins-for-business-knowledge/d/d-id/1327256. 8.Ibid. 9.Tomas Kellner, “Wind in the Cloud? How the Digital Wind Farm Will Make Wind Power

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/07/18/why-googles-pair-initiative-to-take-bias-out-of-ai-will-never-be-complete/. Chapter 8 1.GE Digital, “Minds + Machines: Meet the Digital Twin,” YouTube video, 14:18 minutes, November 18, 2016, https://www.youtube.com/watch?v=2dCz3oL2rTw. 2.“Harnessing Revolution: Creating the Future Workforce,” Accenture, https://www

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design at Airbus, 144 AI system, 128–129 Elbo Chair, 135–137 generative, 135–137, 139, 141 product/service, 74–77 Dickey, Roger, 52–54 digital twins, 10 at GE, 27, 29–30, 183–184, 194 disintermediation, brand, 94–95 distributed learning, 22 distribution, 19–39 Ditto Labs, 98 diversity, 52 Doctors

Subscribed: Why the Subscription Model Will Be Your Company's Future - and What to Do About It

by Tien Tzuo and Gabe Weisert · 4 Jun 2018 · 244pp · 66,977 words

to be sold with demand. Today . . . most of our factories look the same as they did 50 years ago. That’s all about to change. DIGITAL TWINS You may have grown up thinking of General Electric as a kitchen appliance company. Today they build wind turbines, jet engines, oil rigs. They also

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developers. They have over $3 trillion in assets that they manage on a regular basis, and today almost all of them have twins—more specifically, digital twins. We recently hosted Gytis Barzdukas, vice president at General Electric Digital, at our Subscribed conference in San Francisco. He pointed out that

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digital twins don’t just represent how their physical assets were designed or how they were built—they display how those assets are operating in real time.

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A jet engine that’s being operated in the US Southwest, for example, has a different digital twin from one that primarily flies across the North Sea. Over time, those engines behave and degrade in different ways, and they transmit usage data accordingly

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soon, engineers on the ground will use augmented reality headsets to see all this information overlaid on the jet engines when they inspect them. The digital twins will point out wear and trouble spots and offer opinions on how to resolve issues based on asset history. Essentially, GE operates its own social

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enterprise applications connected and operating on subscriptions models. Now it’s the big machines.” So far GE has built more than 600,000 of these digital twins. And just as social networks changed our world, this third-generation industrial internet is going to transform manufacturing. As Barzdukas pointed out, it’s relatively

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phase” of IoT, are set to become a huge growth industry in the years ahead. And what happens when you have a vast network of digital twins that represent every asset across your entire product line? Well, the first beneficiary was GE itself. What if you had one engine acting up, or

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behaving strangely, among thousands? Imagine that if instead of trying to catch problems with expensive and laborious mass maintenance procedures, you had a network of digital twins sending you relevant signals from individual assets. Well, you could fix the biggest problems much faster. GE quickly realized more than $200 million a year

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clients. That’s a lesson for all of us. THE FUTURE OF MANUFACTURING When you take the raw data generated by all these millions of digital twins and interpret that data with analytic software, then you can sell that new intelligence as a service that can become as valuable as having electricity

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service, 34 Dell, Michael, 16 Deploy element, of PADRE operating model, 203 DeRamus, Reid, 43 Digital Equipment Corporation, 56 digital transformation, 11–14, 19–21 digital twins of physical machinery, 104–6 Disney, 13, 107 Doctor, Ken, 69–70, 71 DocuSign, 163–64 Dollar Shave Club, 28, 33 double-entry bookkeeping, 176

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sales, 168–70 Internet of Things (IOT), 101–13 construction industry and, 98–100 data inherent in connected devices, sales of, 109–10 defined, 102 digital twins of physical machinery and, 104–6 efficiency stage of, 102 focusing on outcomes instead of products, 106–11 manufacturing industry and, 103–13 new business

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Magellan Health, 115 Main, Andy, 121–22 malls, 17, 22, 34–35 Manifesto for Agile Software Development, 135–36 manufacturing industry, 100–101, 103–13 digital twins of physical machinery and, 104–6 focusing on outcomes instead of products, 106–11 future of, 111–13 margins, 15 marketing, 130–31, 143–55

The Measure of Progress: Counting What Really Matters

by Diane Coyle · 15 Apr 2025 · 321pp · 112,477 words

structures such as roads or rails is vital to sustain infrastructure capital services but is poorly measured, if at all. Current technological changes—such as digital twins and the embedding of sensors in structures (Zomer et al. 2020)—are also changing capital services, maintenance needs, and infrastructure value chains, leading to sectoral

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ects that are generally production networks around e ither a construction major or a large engineering consultancy (Coyle and Msulwa 2024). The ambition is a digital twin for major projects end to end. At present, routine parts of the upstream design and development of blueprints are contracted out to service

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i a l i s a t i o n 87 customers. In principle, although the entire end-to-end process can have a digital twin, consistent from initial design through operation, these are still rare. Not only are there technical issues such as lack of common data standards and interoperability

Code Dependent: Living in the Shadow of AI

by Madhumita Murgia · 20 Mar 2024 · 336pp · 91,806 words

I chose not to do. But it did leave me with a nagging fear of what might exist out there unbeknownst to me, my scattered digital twins over whom I had no control or ownership. When I spoke to Cher, she said the idea that someone could take a photo of her

Demystifying Smart Cities

by Anders Lisdorf

a device has been connected to a central platform or solution, we usually operate with a central representation of that device. This is called a digital twin or a digital shadow depending on vendor. The idea is that the centralized system keeps track of the device’s current state and its target

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, yellow, and green. The digital shadow may report that it is currently green. A central solution may wish it to be red and set the digital twin target state to red. This is then sent to the device which updates the signal to red. The central solution has to exchange data with