Digital twins are virtual replicas of physical devices that data scientists and IT pros can use to run simulations before actual devices are built and deployed. They are also changing how technologies such as IoT, AI and analytics are optimized.
Digital twin technology has moved beyond manufacturing and into the merging worlds of the Internet of Things, artificial intelligence and data analytics.
As more complex “things” become connected with the ability to produce data, having a digital equivalent gives data scientists and other IT professionals the ability to optimize deployments for peak efficiency and create other what-if scenarios.
Digital twins could be used in manufacturing, energy, transportation and construction. Large, complex items such as aircraft engines, trains, offshore platforms and turbines could be designed and tested digitally before being physically produced.
Read more at NetworkWorld
