The Impending Tryst of Aviation and Artificial Intelligence
Artificial intelligence becomes an inherent truth of every technological interaction that humans have in a normal day and the aviation industry has not been affected by the progress being made in this area. The main focus in introducing Artificial Intelligence in the aviation industry is to increase the scope of automation, remove barriers at modern airports due to human intervention and improve the quality of service provided to customers.
However, the aviation industry has not yet realized the full potential of artificial intelligence, and experts will need to work towards integrating technology at higher concentrations than today. Artificial intelligence remains a powerful answer to questions about safety, security, and growing budgets in the industry. It would be fascinating to witness how the aviation industry is changing from here.
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Commerce and science, although they are diverse, are often intertwined in a way that enhances their mutual growth. Businesses and technology share such a relationship. Companies and consumers who do not use technology to thrive are more likely to lose their place in the market by affecting the scientific advantage they have. Many businesses fail because they are unable to adapt to advances in technology and innovate their services to improve customer experience. Technology has the power and potential to change even the foundational functions of an organization. One of the biggest technological influences in recent years is the Development of artificial intelligence. The power and impact of Artificial Intelligence is that it changes the way businesses interact with consumers, business decision-making, and workflow approaches.
The modern aviation industry is constantly focused on providing a positive experience for all customers. This has led to the unrestricted integration of technology into various aspects such as mobile ticket-buying, self-check-in kiosks at airports, being able to check-in through the mobile application, and booking. Special flight meal.
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The Applications of artificial intelligence in the aviation industry is still in its infancy, so the level of transition has yet to be explored. There are multiple areas in the industry that are changing with technology.
1. Crew Management:
Daily flight crew managers must maintain complex networks of people, including flight attendants, pilots, and engineers. Re-scheduling anyone on staff can be cumbersome. Multiple factors such as manager’s availability, credibility, credentials, and staff member qualifications are affected.
A Boeing company called Jepsensen solved this problem using AI. Their AI-based staff rostering system takes into account all of the above and manages the staff efficiently.
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2. Flight Maintenance:
Aircraft management is a very difficult task, and if done wrong, it can cost airlines a fortune. This requires extensive planning and scheduling. Unplanned flight management can lead to flight delays or cancellations. Experts estimate that millions of dollars will be saved if AI is implemented properly.
AI-based forecasting management is slowly becoming a trend in the global aviation management market. This helps maintenance engineers to assess failures before they actually happen. Delta plans to reduce the number of its flight cancellations through AI-based Predictive Maintenance. According to IBM Watson’s TV commercial, AI guides on — field repair staff and informs them of their operational aspects.
3. Passenger Service:
Delta Airlines announced in May 2017 that it would invest $ 600,000 to build self-service bag drop machines and kiosks for passenger identification. The kiosk has a built-in camera that takes photos of customers during check-in and matches their passports. Both face recognition and self-service luggage drop-off allow machine learning algorithms to perform their tasks.
4. Simplify Communication:
Air Traffic Control (ATC) is the most crucial component of all aircraft. In the case of international flights, communication between the pilot and the air traffic controller is usually cross-lingual and cross-cultural. Although the two use English for communication, their accent may be different, which creates confusion. For example, the Indian pilot finds it difficult to understand the heavily pronounced English of the European controller. Also, the communication channels of the ATCs are noisy, making it more difficult for the pilot to follow.
Thanks to Airbus’ AI-Gym program, they were able to develop a machine learning algorithm that not only clears the sound in real-time but also provides a complete transcript of the controller’s audio.
5. Ticketing systems:
Air ticket prices are calculated based on multiple parameters such as oil prices, flight distance, date of purchase, competition, seasonality, brand value of the airline, and more. Some parameters such as oil prices change every day, which leads to a steady change in the ticket price.
The AI calculation is a definitive answer for this issue. It helps airlines to calculate the most efficient prices for each aircraft, which helps them to be profitable and offer competitive prices to their customers.
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