CIOs Ready for Digital Twins, But Implementation is Double-Trouble. Realizing the full promise of digital twins may require integrating systems and data across entire organizational ecosystems.
Realizing the full promise of digital twins may require integrating systems and data across entire organizational ecosystems.
Imagine being able to work out production issues and workflow changes virtually before imposing changes on your organization. Close to six out of ten CIOs responding to a recent Gartner survey either have or are prepping their organizations to support digital twins, which replicate potential and actual physical assets, processes, people, places, systems, and devices. At least 21% have already deployed some form of digital twins, while another 38% are engaged in one- to three-year planning stages to deploy digital twins.
How AI can lead the future of diagnosis and drug discovery
AIoT is a unique combination of Artificial Intelligence (AI) and the Internet of Things. The IoT has sensors data or telemetry data that is governed by cloud computing. The telemetry data is sent to the cloud, where the large datasets and insights are stored.
Сities of tomorrow’s powered by AI.Smart cities aren’t just sci-fi or cyberpunk dreams, but an actual solution based on Artificial Intelligence and the Internet of Things. But the question is, what is the mechanism that put it all in action? How far away humanity is from a futuristic picture of smart cities we saw in movies?
TRANSFORMING INDUSTRIES THROUGH ARTIFICIAL-INTERNET-OF-THINGS. Deploying AIoT in different industries will enable organizations to work efficiently.
Innovations in Artificial Intelligence - Various sectors in which AI is remarkably used & has brought changes in humanity - Education, Healthcare,automobile