Here's how you can manage airline operations with artificial intelligence.

The mechanical and performance data for each individual aircraft is as unique as a fingerprint, and monitoring variables such as each aircraft's maintenance schedule, passenger capacity and weight can help set them on optimal routes, saving fuel. AI helps drive small efficiency gains that add up when scaled across a fleet of thousands. By understanding these variables, the extent of fuel combustion can be determined. Burning less fuel reduces emissions, while performance increases. It will take a person many hours to analyze it. But artificial intelligence can extract this analysis in just minutes, all of which helps ensure that tomorrow's pilot will fly the most efficient aircraft available for his route.

A few things that might come in handy with AI: 1 - Enhanced personalization through Data Analysis: with all data collected, tailored recommendations can be made to consumers, enhancing their travel experience and better understanding patterns in consumer behavior which can lead to proactive offerings. 2 - Improved customer satisfaction and loyalty: recomend unique experiences based on his data, offer loyalty programs based on his habits (for those recurrent client meetings) that will lead to a better customer engagement. There are many other aspects that can be explored, like new revenue streams based on targeted offerings, competitive advantage in the market, operational efficiency and resource optimization.

AI, despite its potential to improve operational effectiveness, faces serious challenges related to security and reliability. Errors in software or systems can lead to critical mission failures or even unexpected disasters. In addition, there are risks related to cyber manipulation or hacking that may target these systems.

Modern aircraft, with their advanced self-diagnostic and electronic command systems, are veritable data factories that can be used, augmented by artificial intelligence, when planning future flights. But when it comes to actually flying the plane, there is no room for giving control to algorithms, because issuing permits for aircraft and their systems, the cornerstone of the aviation industry, must rely on elements that can be tracked and replicated, far from “fuzzy logic.”