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The road to proactive decisions and the Intelligent Airport

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We all know that prevention is better than a cure – and in a dynamic airport environment, adjusting plans proactively is far more efficient than battling unexpected issues as they arise.

From mitigating overflow and crowding to smoothing journeys across the airport, predictions and holistic decision-making can take airports from ‘react and respond’ to ‘proactive and optimal’.

…But how to get there?

Watch for an in-depth look at how understanding the impact of localised decisions on the entire airport ecosystem can improve everything from crowd management to resourcing, revenue and off-block times.

You will learn:

• What building intelligent airports really means

• How to prioritise the steps and components necessary for becoming an intelligent airport

• How combining data, prediction, and proactive decision-making can lead to continuous improvements

• How to understand the contextual and holistic impacts of airport-wide decisions

• Real-life examples of how leading airports are putting their data to work today and the benefits seen.

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Case study

Edinburgh Airport transforms operations with Veovo

Scaling smarter at Edinburgh Airport To support passenger growth, streamline decision-making and opertional efficiency, Edinburgh Airport, Scotland’s busiest has deployed the Veovo Intelligent Airport Platform. This new generation airport management system includes Veovo’s Airport Operational Database AODB, Resource Management and Revenue Management solutions. A unified operational backbone With the new airport operational database (AODB), Edinburgh […]

News

London Gatwick and Veovo Collaborate on a Predictive, Integrated Airport Control System

London Gatwick is advancing data-driven airport operations through its partnership with technology provider Veovo to develop an Integrated Airport Control (IAC) System. This collaboration will create a more predictive, connected environment for operational decision-making and accelerate Gatwick’s shift to Total Airport Management, where continuous AI/Machine learning-driven prediction enables the airport to pre-empt operational challenges and […]

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