A child creates his avatar at FITUR. HELIXA Experience Center is the installation of technology and creativity within the FITUR fair. It will be the first to offer visitors the ability to create their own avatar in real time. This avatar is a customized, hyper-realistic, 3D, #seriezero digital twin that can be used to communicate on digital platforms and in a variety of ways.
Guillermo Gutierrez Carrascal LightRocket | Getty Images
The concept of digital twins – digital representations of physical systems, objects or processes that act as undetectable counterparts for purposes such as simulation, testing, monitoring and maintenance – has been around for some time. But it shows that the time has come for this idea to be taken more widely to support businesses.
“With the rapid implementation of digital twins, we see two groups of applications emerging: industrial applications that solve real-world problems, and corporate use cases that support process management and decision-making,” he said. Frank Diana, principal futurist at Tata Consultancy Services.
Like artificial intelligence a few years ago, digital twin technology has evolved from a specific product to a more efficient way to manage it, Diana said.
“With the deep and consistent knowledge that digital twins provide, we have a better understanding of our products, processes, and practices and the trust of our brands,” said Matt Barrington, emerging technology leader at EY Americas corporate advisory.
“For example, this allows many organizations to have the confidence to try out solutions for complex acquisitions or new services related to data” such as insurance policies for smart home twins, Barrington said. “Moving forward in a more dynamic, environmentally friendly market, we hope that all companies will be able to be interdependent. [on] digital twins to work smarter in many aspects of their business,” he said.
Living with real data
Companies are using manufacturing twins to make design and development more efficient, Barrington said. “Digital twins take the models we already have in technology, processes and systems and bring them to life in real time with real data,” he said.
One way to use digital twins within TCS has been to improve how the company returns to the office at the end of the pandemic, Diana said. “In order to reopen properly, we needed to know the answers to a number of questions [workers] can it be infected? Who should we test, and when? What will our residential areas look like?” he said.
To answer these questions, TCS created a digital twin center with a machine-editable “spatial model”, with the ultimate goal of predicting and controlling the spread of Covid. “The digital twin serves as an increased support for explaining the environment and supporting decision-making, which facilitates the return to the office for our colleagues,” said Diana.
Digital twins are also changing old business models, Diana said. “These popular platforms do not have the ability to account for distortions and distortions, which are very common in the post-Covid world,” he said.
Along with AI, organizations are using digital twins to help think, test, and make business decisions through simulations that represent important organizations, relationships, and external forces such as competitors or natural disasters, Diana said.
In the life sciences, digital twins are being used to create twins of human organs, which enable new methods of research and medical care, Diana said. Drug and cosmetics companies can use twins to test how to release new drugs or products on human skin online instead of relying on animal testing, he said. Researchers can use digital hearts to find new ways to perform surgery or treat heart disease.
Digital twins are also being used for smart city projects, Diana said. For example, Los Angeles is using digital twin technology that will simulate the traffic flow.
Another approach that can be used for environmental, social and leadership issues. The technology “uses big data sets of weather, travel, and physical activity to create a digital twin of any physical location,” said Dan Versace, an ESG business analyst at research firm International Data Corp. Using artificial intelligence and machines. learning, digital integration can analyze in depth to provide users with a detailed analysis, based on natural phenomena, said Versace.
“This technology, when used properly, can identify the physical hazards that come with the increasing number of climate-related natural disasters,” Versace said. “In the coming year this technology will continue to grow, some organizations are saying that they will be able to calculate the risks that organizations face due to climate change, and how these risks will affect their customers and what will happen to their customers. value chain.”
This will allow companies to develop promotional strategies and communication strategies long before they are needed, without facing any risks, Versace said.
“We will see digital twins being adopted rapidly in 2023, in many different industries,” said Diana. “The volatility and uncertainty around this year will be a catalyst to drive companies to embrace an uncertain future. Digital twins will be a key tool in that endeavor.”
Digital twins are increasing in adoption and adoption as more organizations see positive results from early adopters, Barrington said. As digital twins become more mainstream, EY predicts two major developments. One is hyper-personalization, the use of twins to improve products, services, and experiences with the goal of increasing customer loyalty and value.
Another is dynamic supply chains. “As more and more digital twins come online, leaders will help digital twins to not only compare and emulate their behavior, but to optimize and develop powerful and intelligent models – all created by digital twins,” said Barrington. “Many leaders have learned from the recent pandemic that static chains are not enough to move forward and digital twins are one of the best ways to reduce risk.”