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AI Use Case

Predict problems and recommend proactive maintenance for planes, trucks and other moving equipment

Predict failure and recommend proactive maintenance for planes, trucks, and other moving equipment



Cost - Lifecycle maintenance support cost reduction,Operational - Increased machine uptime,Cost - Asset uptime optimisation

Case Studies

Korean Air ~Korean Air reduces maintenance defect history analysis lead times by 90% and improves on-time performance with machine learning and natural language processing

Potential Vendors

IBM Watson



Freight And Logistics

Data Sets

Time series

AI Technologies

Product - Data Capture - Sensor IoT,Product - Data Capture - Telematics,ML Task - Prediction - Annotation,ML Task - Action Selection - Reinforcement Learning ,Model Architecture - Deep Neural Networks,ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Binary Classification,ML Task - Prediction - Regression,Machine Learning (ML),Product Type - Vision ,Product - Data Capture - Camera,Model Architecture - RNN - Long Short-Term Memory (LSTM),Model Architecture - Artificial Neural Network (ANN),Model Architecture - Convolutional Neural Network (CNN),Model Architecture - R-CNN

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