The commercial aviation industry is improving how it recovers from disruptive events – but can it improve its predictive models?
Amid ever-increasing demand, large international hubs are under constant pressure to cram more passengers and flights into finite physical infrastructure. In this context, even a single delay can have an immense negative effect on operations.
The application of artificial intelligence (AI) will help airports gather and process information about operations by assisting with predictive models that can guide decision-making when disruption is imminent. However, much depends on bringing together the frequently disparate technologies used by airports, and ensuring that the data from these multiple sources is aggregated and interrogated properly.
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