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
Potential Vendors
IBM Watson
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