Digital twins are virtual replicas of physical devices – assets, systems, or processes – that data scientists and IT personnel can use to run simulations. Digital twins are designed to detect and prevent problems, predict performance, and optimize processes through real-time analytics to deliver business value.
A digital twin allows businesses to perform analyses and monitor physical assets, systems, and processes to gain insights, identify problems before they occur, prevent downtime, and develop predictions virtually without the need to dedicate large amounts of material resources to the effort.
The C3 AI® Suite enables organizations to leverage their existing enterprise systems, data stores, and disparate data sources by unifying their data into a C3 AI Digital Twin on a unified object model. This virtualization allows customers to gain critical business insights through simulations of their processes, assets, or systems. For example, C3 AI Readiness for Aircraft currently tracks component utilization across all aircraft work unit codes at all levels of aggregation. This utilization accounting capability is referred to as the aircraft’s component “digital twin”.
The out-of-the-box digital twin functionality of the C3 AI Readiness application monitors total flight hours observed by each aircraft component and can easily extend to include cycles, if required.
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