ATD-2 Machine Learning Model Validation Framework Design

To realize the full power of machine learning, organizations need to focus on operations and delivery of the predictions as much as the development of the algorithm itself. In the case of NASA and ATD-2, not being able to trust the projections generated could be a life-or-death situation. Air traffic controllers must trust the recommendations presented by them, and validation is essential towards building trust.

Taxi Time Predictions

The taxi-out time predictions help pilots decide when to “single-engine taxi”: taxi most of the way to the runway with only a single-engine turned on, turning on the second engine just a few minutes before take-off. The single-engine taxi decision is typically made by pilots within an hour of push back. Still, our customer asked for predictions up to four hours in advance of the expected push back time.

ATD-2

Mosaic ATM Case Study | ATD-2 Addressing Inefficiency in Today’s Air Transportation System According to NASA1, many of today’s air transportation system issues can be attributed to a lack of information sharing amongst the operators responsible for managing air traffic in busy terminal environments. Concepts and technologies to improve the Read more…

Mosaic to lead ML & AI integration at the FAA with latest task order

Mosaic is thrilled to announce that we will be supporting the Federal Aviation Administration to integrate machine learning & artificial intelligence into their Enterprise Information Management System. Mosaic will leverage a decade of expertise in designing & deploying custom #machinelearning & #AI algorithms that influence strategic & operational decision making. Read more…

Moving Fast & Deploying Predictive Analytics

Working in conjunction with subject matter experts, data scientists can swiftly apply statistical tools and uncover emerging trends. This is extremely valuable for companies trying to operate in a disruption. Not only will executives have an accurate representation of their present situation, but new products & services can be devised from these insights.