Digital Twins Technology and Internet of Things Solutions

Enabling Internet of Things (IoT)

This concept involves gathering insights from the connected systems and channels. After the collection of Data, the information is rerouted to the digital world via sensors for further analysis. Analytics Techniques are used to produce insights which is enabled with the help algorithmic functions.

The primary goal of digital twin is to identify any chances of quality and efficiency optimization, cost optimization, and to alert the physical twin for any abrupt changes.

Digital Twins with AI

Artificial Intelligence plays a vital part in digital twins foundation.The working architecture includes two Components -

Pattern Recognition

Pattern Recognition deals with behavioral aspects of the digital asset. The technologies behind predicting the life of an asset and failure systems include Advanced Machine Learning and Transfer Learning Methods.

Learning Models

This process involves building models that can be validated, monitored, and updated continuously.