Blogs
Human Decision Making in Machine Learning Deployment for Air Traffic Flow Management
Being able to accept machine learning outputs in the decision making process is critically important, especially in Air Traffic decisions.
Being able to accept machine learning outputs in the decision making process is critically important, especially in Air Traffic decisions.
This case study examines how Mosaic helped NASA and the FAA dynamically balance airspace capacity & demand.
We built a predictive machine learning model that incorporates weather forecasts and air traffic movements to provide decision support to air traffic controllers.
Mosaic built custom ML & AI models for a leading express shipping company to optimize their overnight shipping operations.