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

Function

Benefits

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

Industry

Transportation

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

Potential Vendors

IBM Watson