AI can integrate data from various sources such as radar, satellite, and aircraft transponders to track different parameters, and present it to operators in a smart, intuitive interface. It can enhance flight tracking and visualization by providing real-time monitoring, predictive analytics, interactive displays, anomaly detection, and personalized insights, thereby improving operational efficiency and passenger experience.
Capture and predict information on adverse weather and airspace congestion to improve flight safety
Optimize air traffic management by predicting demand and coordinating airspace usage
Real-time monitoring of aircraft movements, airspace congestion, and operational disruptions
Improve accuracy, efficiency and reliability
Identify anomalies in flight data, such as deviations from planned routes, unexpected altitude changes, or irregular flight behavior
Select the most eco-friendly routes based on integrating data of several variables
Integrate with existing flight tracking and visualization platforms to easily automate workflows
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