KUALA LUMPUR, Sept 27 (Bernama) -- Chairman of Avia Solutions Group, Gediminas Ziemelis has shared predictions regarding the areas where artificial intelligence (AI) in aviation will make a massive difference.
According to a statement, the use of AI in aviation goes beyond customer support chatbots and price comparison tools for travellers.
While these applications will definitely stay and become ubiquitous, the real disruption will come from optimising the “hard” areas of aviation, from revenue management to evaluating the likelihood of a strike.
An accomplished Lithuanian entrepreneur, Ziemelis said AI tools are able to unlock true dynamic pricing; maintaining engine health; planning the most efficient route; predicting strikes; improving workflows in-flight; helping pilots and crew maintain their mental health; and predicting the probability of Airworthiness Directives (AD), among others.
In the airline business, revenue management has never been an easy game, but the stakes are even higher in the post-COVID. AI can help improve the tough task of analysing historical data and calculating the right price, taking into account the client’s location and a myriad of other factors.
Predictive maintenance has been an integral part of maintenance, repair and operations (MRO) for quite some time now, with sensors helping airlines determine when and what needs to be fixed or replaced. AI can use both real-time sensor data and predictive historical fault patterns to reduce downtime and overall costs of maintenance.
With AI tools able to plan the most efficient route, AI-enabled platforms can accelerate decision-making for operators, helping them harness not just the power of historical data but also of predictive mechanisms that, together, generate an actionable and clear picture.
While strikes in aviation usually make headlines because of the disruption they have on travellers’ plans, the fact that airlines can lose tens if not hundreds of millions per strike is often overlooked.
AI can analyse not just technical but also sociological data, a model could be designed to help airlines predict a potential strike and be better prepared for potential negotiations.
Furthermore, AI can serve as a helper not just to the staff on the ground but also to the cabin crew. It is not just about making routine tasks easier, a properly trained tool can offer expert advice on managing the aircraft and making quick, informed decisions, especially when the pressure is on and quick decisions are vital.
-- BERNAMA
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