Digital Twin technology has progressed beyond manufacturing and moved into the converging worlds of the Internet of Things, artificial intelligence, and data analytics.
As more complex processes become connected and capable of producing data, having a digital equivalent allows data scientists and other IT professionals to optimize deployments for maximum efficiency.
Based on variable data, digital twins can be used to predict various outcomes. This is comparable to the run-the-simulation scenario, which is frequently depicted in science-fiction films and involves proving a conceivable event in a digital world. Digital twins can often enhance an IoT deployment for optimal efficiency using additional software and data analytics, as well as assist designers in determining where things should go or how they should operate before they are physically installed.
In this video whitepaper, we will discuss the following topics:
- What are Digital Twins
- How Digital Twins can be fed with multiple types of data streams
- What are the different levels of Digital Twin sophistication
- And more
