Using Machine Learning in Airline Operations Control (AOC) Applying machine learning (ML) in an Airline Operations Centre (AOC) is a highly promising and complex domain. The AOC functions as the command hub for airline operations, where operators handle an overwhelming amount of real-time data to ensure smooth execution of flights. Supporting these professionals with intelligent systems means freeing them up to focus on strategic decisions rather than routine monitoring. The Problem: Flight Diversions and Information Delays Let’s consider a common scenario: when a flight undergoes a diversion or a go-around, the first point of communication typically comes from Air Traffic Control (ATC). However, not all airlines have established direct communication channels with every airport across their network. This delay in acquiring diversion information often results in inefficient logistical decisions. Imagine an aircraft scheduled to deliver cargo to a city. The cargo is meant to be picked up...