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.
Since 2004, Mosaic has been helping aerospace and air transportation companies deploy the most advanced custom data science at scale. We have designed and developed aviation machine learning solutions and decision support tools for NASA, the FAA, DoD, and more. As a leading provider of advanced aviation solutions for a diverse set of federal and commercial aviation customers, many of Mosaic’s projects have demonstrated millions of dollars in annual cost reductions. Our dedication to achieving customer objectives through innovative techniques and our creative approach to complex air transportation challenges sets us apart – delivering impartial, data-driven results with an eye toward sustainability.
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.
Mosaic built custom ML & AI models for a leading express shipping company to optimize their overnight shipping operations.