A digital twin is a virtual version of a product, service, or process that can be used by the data scientists and IT pros to run simulations before the actual machines are built and deployed. They are also modifying the optimization of technologies like IoT, AI, and data analytics. The technology behind these digital twins has to expand largely and is more likely to expand further with people and processes. The idea of having digital twins first arose at NASA, to diagnose the problems in the orbit, eventually paving way for fully digital simulators.
The term came highly in trend once Gartner named it as one of the top 10 strategic technologies for 2017. The report mentioned that within the next three to five years, “billions of things will be represented by digital twins, a dynamic software model of a physical thing or system”. A year later, Gartner once again named digital twins as a top trend, saying that “with an estimated 21 billion connected sensors and endpoints by 2020, digital twins will exist for billions of things in the near future.”
Designed by specialists in data science or applied mathematics it is constructed to receive input from the sensors gathering data from the real-world counterpart. Digital Twins are in action ever since 2002, thanks to IoT (Internet of Things) for making it cost-effective to be implemented as it is a vital part of businesses today.
How does digital twin work?
Talking about how this technology works, it is a bridge between the physical and digital world. Initially, the physical items are merged with the smart components that use sensors to gather data about the real-time status and working conditions. These components are linked to the cloud-based system to receive and process all the data. Broadly, the digital twin model is likely to be modified with the incorporation of Artificial Intelligence. The network technology is connected with the digital equivalents to enhance their capabilities of getting rid of problems and provide higher operational recital.
In the current scenario, sensors accompanied by physical objects gather data and transmit data in their digitally created similar versions and this communication can be used to further enhance the performance of the physical object. The perk of a digital assistant is that they can be created before the machine is constructed physically in the manufacturing units.
If you want to hear Forrester’s view of what’s digital twin, what it isn’t, and how to implement it, you can watch this on-demand webinar.
Using Ai/IoT as a Digital Twin for digital transformation
Sales representatives spend most of their time searching for the relevant data to progress with the deals and building good customer relationships. Studies have revealed that about 35% of the employees spend their productive time searching for data that should be easily accessible to save their time and focus.
Pluto7 has been actively associated with over 100+ Google Cloud customers binding the learning and insights together to empower your selling perspective using artificial intelligence as a digital twin.
As per a report published by Forrester, 16% of respondents currently implement digital twins in manufacturing whereas 24% plan to do so in the next twelve months. Explaining further Forrester defined the six key characteristics that a digital twin must demonstrate:
During the COVID-19 pandemic, the buying and selling patterns of the customers have changed drastically. The importance of digital presence is now recognized widely for huge organizations which makes digital twins essential knowing the power it contains to drive innovations. Pluto7, along with Google is equipped with expert and most talented product technicians with capabilities of monitoring, analytics, and core knowledge about the digital twin technology. We have been assisting companies to improve the customer experience by understanding their needs and developing enhancements in the existing products.