Unlock the potential of digital twins: explore real-life use cases and transform your business

  • September 04, 2023

What is a digital twin?

A digital twin is a virtual model of a real-world object, system or environment, created using real-time data from sensors or business systems. It provides a constant stream of data from the physical twin and builds an ever-growing historical archive of actions and reactions. Companies can use digital twins to view and learn from the data and simulate the behavior of the physical twin.

Digital twins have enormous potential for businesses. Using the model, companies can identify failure points, bottlenecks and other opportunities for improvement that they can act upon immediately. Additionally, digital twins provide a test model that companies can use to experiment with different designs or enhancements without the risk of negatively impacting the physical twin in the real world. The data collected by the digital twin can also be used to predict the physical twin’s future performance and make proactive adjustments as needed.

The technology boom and rapid pace of innovation over the last 25 years has enabled the digital twin concept to become more potent and versatile. Technologies such as edge computing, mobile data, cloud, AI, digital modeling and others, have all come together at a time when many companies desperately need what digital twins have to offer.

Improve customer experiences and reduce costs

The data collected by digital twins can help companies create better customer experiences. A product manufacturer can use a digital twin of its product to track usage patterns and gauge customer satisfaction. The model can reveal areas of improvement or new features that customers may find valuable. Companies can also use the data to develop product-specific services, such as subscription-based maintenance or training services.

Digital twins can also help companies achieve their sustainability goals. A digital twin of a wind farm can track the farm’s energy output and analyze ways to increase efficiency. Companies can use the data to develop renewable energy initiatives and reduce their carbon footprint. Businesses can use the model to lengthen the lifespan of equipment through targeted predictive maintenance. Additionally, digital twins can be used to manage inventory and optimize shipping, design smarter workspaces, adjust energy consumption and predict occupancy levels.

Bridging the divide between adoption and maturity

Digital twins offer organizations an incredible opportunity to bridge the divide between technology adoption and maturity. By creating a digital model of a product, system or environment, companies can gain real-time insights and take proactive steps to optimize processes and performance. The potential of digital twins is only just beginning to be unlocked. As companies continue to explore the technology, the possibilities for their use will surely expand. Organizations that take advantage of digital twins will have a better understanding of their technology ecosystems and a more efficient way to capitalize on their investments. Digital twins can also be a valuable tool for companies looking to make the most of their digital transformation investments.

Unlock the full potential

Act now to unlock the full potential of digital twin technology and reap the rewards in your business. With the right digital twin model in place, you can anticipate technical issues, reduce costs and optimize operations. Read the full article Digital Twins: Doubling Down on Data-Driven Performance and discover how digital twins can help you build a smarter, more sustainable future.

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Syam Madanapalli

Syam Madanapalli is a Solutions/Service Line Director at NTT DATA Services with expertise in the internet, Private 5G, IoT, Edge Computing, Digital Twin Computing, Data Science, Network Security and Sustainability. He's coauthored a book, written eight RFC standards for the internet and holds 18 patents for Networking and Communication. Syam is also involved in volunteering to advance technology, chairing two IEEE standards working groups — P1931.1 - Roof Computing and P2994 - Security Assessment Framework for IoT Deployments.


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