Finnair, Silo.AI develop machine learning AI tool to predict ATC disruptions

    Finnair developed (23-May-2019) a machine learning artificial intelligence tool in collaboration with artificial intelligence (AI) laboratory Silo.AI, which enables the carrier to improve situational awareness and predict possible ATC disruptions more accurately. The technology compiles historical punctuality data, total runway capacity forecasts and current and past weather forecasts to assess impacts such as weather on punctuality. “We tested the artificial intelligence solution in the pilot phase last winter and the results were encouraging”, Finnair head of digital transformation Juha Karstunen said, adding the goal is to implement the solution as part of a broader technical reform in late 2019. He said Finnair is also developing other intelligent solutions to support decision making processes. [more – original PR]