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Bernard Marr

Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity. He is a best-selling author of 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations. He has over 2 million social media followers, 1 million newsletter subscribers and was ranked by LinkedIn as one of the top 5 business influencers in the world and the No 1 influencer in the UK.

Bernard’s latest book is ‘Business Trends in Practice: The 25+ Trends That Are Redefining Organisations’

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Bernard Marr ist ein weltbekannter Futurist, Influencer und Vordenker in den Bereichen Wirtschaft und Technologie mit einer Leidenschaft für den Einsatz von Technologie zum Wohle der Menschheit. Er ist Bestsellerautor von 20 Büchern, schreibt eine regelmäßige Kolumne für Forbes und berät und coacht viele der weltweit bekanntesten Organisationen. Er hat über 2 Millionen Social-Media-Follower, 1 Million Newsletter-Abonnenten und wurde von LinkedIn als einer der Top-5-Business-Influencer der Welt und von Xing als Top Mind 2021 ausgezeichnet.

Bernards neueste Bücher sind ‘Künstliche Intelligenz im Unternehmen: Innovative Anwendungen in 50 Erfolgreichen Unternehmen’

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How Are Digital Twins Used In Practice: 5 Real-World Examples Beyond Manufacturing

2 July 2021

A digital twin is a digital copy of an actual physical product, process, or ecosystem that can be used to run virtual simulations, using data to update and change the digital copy to reflect any changes in the real world.

The idaea behind a digital twin is to let us see what might happen if we were to make certain adjustments in real life. These adjustments can be trialed on the digital twin without having to test potentially expensive changes on the real-world counterpart.

Although the term “digital twin” was first coined in 2002, the concept itself goes back further. NASA pioneered this idaea of working with digital models of real-world systems during its Apollo missions. Being able to create accurate simulations, based on real-world data, played a significant role in helping NASA bring its astronauts safely back to Earth following equipment failure on Apollo 13.

As you can probably imagine, this ability to simulate and tweak without having to disrupt the real-world environment has made digital twin technology enormously popular in manufacturing settings. In Industry 4.0, digital twins are part of a perfect storm of technology, encompassing the Internet of Things, robotics, AI, and automation. Yet, the appeal of digital twins is set to expand far beyond the manufacturing sector. In fact, research by analysts MarketsAndMarkets indicates that the digital twin market is expected to grow from $3.8 billion in 2019 to $35.8 billion by 2025, with some of the largest adopters being healthcare and defence.

With that in mind, let’s look beyond the manufacturing environment to discover how organisations are successfully deploying digital twin technology in new and surprising ways.

1. The energy sector. GE has used digital twin technology to create what it calls a Digital Wind Farm, a cloud-based model of a wind farm. As GE’s general manager for wind products, Keith Longtin, puts it, “Every wind farm has a unique profile, like DNA or a fingerprint. We thought if we could capture data from the machines about how they interact with the landscape and the wind, we could build a digital twin for each wind farm inside a computer, use it to design the most efficient turbine for each pad on the farm, and then keep optimising the whole thing.” What this means in practise is, thanks to digital twin technology, engineers can mix and match different turbine configurations according to the conditions on the wind farm. Then, once the wind turbine is installed, the digital twin model can collect and analyse data from the real-life version and suggest ways to make it even more efficient.

2. Hospitality. Digital twin technology can be used to simulate real-life events and situations, and this could play a major role in the hospitality industry in future. As an example, CKE Restaurants Holdings has been using digital twin technology to increase productivity in its Carl’s Jr and Hardee’s restaurants. Restaurant floors and kitchens were digitised, allowing the company to test different configurations that would help to reduce employee traffic and improve the environment for customers.

3. City management. If you can have a digital twin of a wind farm or restaurant, why not an entire city? Digital twin technology helps city planners understand and improve factors like energy consumption. There’s already a digital twin of Singapore, and we can expect other cities to follow suit in future.

4. Retail environments. The digital twin is still a relatively new concept in retail, but it could prove very valuable, particularly when it comes to modelling customer behaviour in stores. Analytics company Pygmalios is highlighting digital twin technology as part of what it calls Retail 4.0 – an approach that gathers granular, real-time data from physical retail environments and uses that data to improve awareness of customer activity and behaviour.

5. Healthcare. Just as you can create a digital representation of any physical item or environment, it should also be possible to create a “digital patient” – a digital model of a human body that represents various measurements of the body, providing a personalised model of a patient over their lifetime. That’s the ultimate vision of health technology company Philips. The idaea of a complete digital patient is still some way off, but digital twin technology is already being applied to one particular part of the body and showing great promise. Philips has created a clinical application called HeartModel, which creates a personalised 3D view of a patient’s heart based on 2D ultrasound images. As Philips sees it, one day a virtual heart could save your real one.


Business Trends In Practice | Bernard Marr
Business Trends In Practice | Bernard Marr

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