Digital twin is a twin of physical projects, objects and products. It is not new for the systems but they were pretty expensive to be applied. By applying digital twin system to the products industries can have complete digital footprints of all their products. These connected digital technologies generate data for physical instruments giving organizations ability to analyze data for products. This way companies can save up their time and they also get early warnings for their physical products to save them from downtime. It also helps in companies building new and better products at better cost in future. Not only this technique will serve the companies better but also this will help companies serve their customers better.
Digital twins include artificial learning, machine learning, Big Data and Internet of Things. The are mainly used in the industry of engineering, manufacturing business space and in Internet of Things. Usage and reach of Internet of Things to the world has made the digital twin less costly and easier for companies to access.

Working process of digital twin:

Digital twin can be seen as a bridge between digital world and physical world. Smart technologies that uses sensors to collect data about product’s working status and position is linked to the physical product. The components are connected to a cloud based system that process all the data it receives. This data is analyzed by a technological team for warnings and other breakdowns. This data flows continuously making it for the team to analyze the data at every step for the better results. This way digital works as a live model for the physical product.
Firstly sensors distribute signals from the product to the twin so that the data can be stored. The data stored from the products through signals combine with the existing data from the company. After the data is stored it is analysed by the analytical system to produce insights. After that digital twin shows all the analyzed data for curators to develop. If any development is needed in the machine it will ask for human intervention.

Why digital twin is important:

Digital twins are innovative tools for serving the industry better. They save time and resources by showing existing problems before they even occur. IDC predicts that companies using digital twin will see a progress in critical processes by 2018. In digital twin field a lot more opportunities will be there for data scientists and product experts. Digital twin system helps companies to improve their customer service, by analyzing data and knowing about their needs and demands.

Final Thoughts:

The digital twin brings new opportunities for employees and as well as for companies. With new technologies emerging everyday companies might find a way to make digital twins at low cost and much more capable of new things.