Airline

Finnair looking to improve air traffic punctuality with artificial intelligence

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Finnair looking to improve air traffic punctuality with artificial intelligence

Finnair and artificial intelligence (AI) company Silo.AI have built a machine learning AI tool which enables the airline to predict possible disruptions to air traffic more accurately.

Flight punctuality is one of the biggest factors that affect customer satisfaction, and the company says this solution can be used to take a look at the impact of weather on the punctuality of flights, so that preparations for irregularities can be done in advance.

“We tested the artificial intelligence solution in the pilot phase last winter and the results were encouraging,” says Juha Karstunen, digital transformation lead at Finnair. “The goal is to implement the solution as part of a broader technical reform later this year. We are also developing other intelligent solutions to support decision-making. Exceptional weather conditions are common in air travel, and our goal is always to minimise their impact on our customers' travel plans.”