Custom AI models help MWAA deliver better airport experiences

The use cases keep growing. “We are training the models for seasonal, hourly, and event-based patterns, holiday surges, and weather disruptions,” the CIDO says. “It collects raw data from all these sources based on context, harnesses it in real-time, and we put together these models on top of it to deliver a smarter, faster, and seamless experience for our partners.”

Aside from data collection pipelines and recommendation models, Queue Hub is connected to myriad other platforms to generate positive outcomes for passengers at Washington’s two major airports, Kundu says.

 “We’ve got biometric systems, display systems, gate management systems, surface management systems, and all these ecosystems need to play together well in the sandbox,” he says.