Digital twins with Other Technologies
Digital Twin involves many technologies, it is not created individually, it requires a lot of technologies like to collect backend data it requires IoT, to process it requires Hadoop/Spark, It requires machine learning AI models for data analysis which will then represent it digitally to understand about the assets or models for which the digital twin is developed.
Digital twin is one step ahead to deeply analyse various aspects like the growth of your production(In Business), stability of your machines/assets(In Industries), health status of patients(In Hospitals) etc in the form of digital representation. Representing physical objects in digital form is the main aspect of Digital Twin and Digital twins integrated with other technologies, such as IoT sensors and cloud computing, Augmented reality, Edge computing & machine learning and advanced analytics very smoothly. It’s a process which interconnected with each other, so that digital twin easily integrated with these technologies and improve business.
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