C3 IoT
Case Studies
Auto-Generating Digital Twins for Enhanced Asset Management Using the C3 AI Platform
Overview
Auto-Generating Digital Twins for Enhanced Asset Management Using the C3 AI PlatformC3 IoT |
|
|
Analytics & Modeling - Machine Learning Application Infrastructure & Middleware - Event-Driven Application | |
Electrical Grids Utilities | |
Maintenance | |
Digital Twin Predictive Maintenance | |
Data Science Services Training | |
Operational Impact
The implementation of the C3 AI Digital Twin application has significantly streamlined the process of maintaining digital BOMs for the manufacturer. The application, built using machine learning and deep learning pipelines, has automated the previously manual and time-consuming process of extracting information from various unstructured data sources. This has not only resulted in substantial cost savings but also improved accuracy, with the application workflows enabling 100% accuracy in automated parsing with specialist review. The application has also been enhanced with functionality for process simulation and failure prediction, providing the manufacturer with valuable predictive insights. Furthermore, the manufacturer's developers and data scientists have been trained on the capabilities of the C3 AI Platform, empowering them to leverage the platform for further improvements and innovations. | |
Quantitative Benefit
$20 million projected cost savings per year | |
4 weeks required to build the application from scratch | |
100% accuracy achievable using application workflows for automated parsing + specialist review | |