The use of artificial intelligence and machine learning in the worldwide aviation industry is beginning to increase. According to industry experts, artificial intelligence and machine learning will improve speed, efficiency, workload, and safety, including autonomous vision-based navigation and data, allowing for more complex technologies that are in perfect agreement with the aims of the United Arab Emirates government as we head towards the centennial

Airlines and airports are now looking to new technologies and are beginning to rely more and more on artificial intelligence to support customer service. Millions of planes, travelers and workers pass through airports around the world. Ensuring a seamless flow of people, equipment and baggage was one of the main goals of AI deployment at airports. It may be tempting to view AI in a purely business sense, but it's important to remember that improving the travel experience is at the heart of AI's potential in travel. From booking sites to boarding gates, artificial intelligence is a powerful tool for identifying and addressing travelers' vulnerabilities and providing travelers and providers with a seamless experience. Simply put, AI can make your trip smarter

Another important driving force for the utilization of artificial intelligence in aviation is the desire to increase efficiency by automating day-to-day operations; the global travel industry is set to achieve more than US $400 billion in efficiency annually with the introduction of AI alone, according to a study conducted by McKinsey and Company, this explains why chatbots used to optimize customer service tasks are one of the fastest and most widely used examples of artificial intelligence in the industry. The chatbot is the most well-known face of AI-powered efficiency, but machine learning is also implemented behind the scenes, so there are noticeable improvements over visible improvements. Internet of Things (IOT) devices in aircraft machines and airport hangars generate large amounts of data, and companies implement predictive analytics to optimize everything from security latency to maintenance tasks.

One of the new uses of AI at airports is computer vision. It uses cameras and machine learning algorithms to monitor complex ground handling activities, detect security issues in real time, and trigger alarms when services take longer than expected

Technology is dramatically changing the way businesses interact with their customers, and the aviation world is part of it. The data and how it is used transforms airlines from pre-flight to post-flight operations. This includes ticket purchase, seat selection, baggage, boarding and land transportation. The data needed is collected along the various components of a passenger's journey, allowing organizations to take informed steps to improve operational efficiency and customer experience

H.E. Saif Mohammed Al Suwaidi

Director General - General Civil Aviation Authority