Intelligence Artificial usage in ANSPs challenges – Air Traffic Management
Innov’ATM, the Toulouse-based ATM (Air Traffic Management) and UTM (UAV Traffic Management) specialist, has been chosen by the magazine Air Traffic Management to speak on how Artificial Intelligence and Machine Learning will participate in the post-COVID rebound...Harnessing ML for Advanced Accuracy and Operational Savings: Innov’ATM Garners Additional Predictive Times Using FlightAware Foresight
FlightAware and Innov’ATM announced today the availability of FlightAware’s flight position, flight status, and FlightAware Foresight™ capabilities within Innov’ATM’s airport collaborative decision making (A-CDM) tool, AirportKeeper®. The partnership will enable...
Reducing operational costs with Innov’ATM / AI – Episode 1: Ground holding time
1 – The A-CDM concept Airports are busy places where different stakeholders have key roles and a common goal to manage safely and efficiently the flow of flights departing and arriving. However, airport infrastructures are not exploited in the most optimal...
Reducing operational costs with Innov’ATM/AI
Reducing operational costs with Innov’ATM/AI Sharing knowledge and know-how is caring about the Air Transport Industry as a whole, not only about our clients. At Innov’ATM we truly believe that only through the sharing of our algorithms logic and outcomes...
Proud Winners of the Passenger Experience Challenge in Athens!
Our business development team is back from the InterAirport Europe Exhibition in Munich with a lot of positive feedback.