AI case study

FinnairFlight delay prediction

Staff reacted to weather delays as they unfolded. ML now predicts disruptions 12 hours early, letting teams prioritize interventions.

Published|1 year ago

Key results

Advance Warning
12 hours

Result highlights

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The story

Context

A major Finnish airline operating in a region where exceptional weather conditions frequently impact flight schedules.

Challenge

Weather is a primary cause of delays, but the operations team lacked accurate long-range predictions to manage disruptions effectively. This limited...

Solution
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Quotes

The company

Flag carrier airline for international passenger and cargo air travel.

IndustryTravel & Tourism
LocationVantaa, Finland
Employees5K-10K
Founded1923

The AI provider

AMD is a technology company that specializes in designing and manufacturing semiconductors, processors, and graphic cards.

IndustryTechnology
LocationSanta Clara, California, United States
Employees10K-50K
Founded1969

The implementation partner

Silo AI logo

Silo AI

silo.ai

Helped Finnair build a machine learning-powered solution to predict flight disruptions.

IndustryTechnology
LocationHelsinki, Finland
Employees251-1K
Founded2017

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