Decades later, AI and its subsets - machine learning and deep learning - are set to influence the future of many sectors, including aviation. “AI’s ability to identify patterns in complex real-world data that human and conventional computer-assisted analyses struggle to identify makes it extremely well-suited to the aviation sector,” says Bosman. We’ve all grown familiar with horror stories about technological mishaps involving personal assistant bots, like Alexa and Siri, and self-driving cars. “AI has the potential to transform aspects of the aviation sector, enabling ATM functions to be performed in entirely different ways in the future.”, Bosman also believes that automation can play a pivotal role in improving the industry’s environmental credentials. AI means a machine which can learn and think. With AI, the industry’s focus on cybersecurity has also increased.”, Based on this assumption, the report aims to “demystify and accelerate the use of AI in aviation and ATM in particular”, says Guillermet. In the future, the AI system will be used to interpret information for the airborne flights’ radar and monitor the weather. “We also looked at the future evolution in the use of AI,” he continues, “in particular with the development of joint human-machine cognitive systems.". Get the Museum's blog posts direct to your mailbox. The AI system can make comparisons between the flight plans of a plane that is about to … Taking a step further from issues of predictive maintenance, we might ponder the notion of self-flying planes. Today, AI makes it possible to enhance customer experience with automation and self-service solutions, optimize employee workflow, and ensure higher air safety with predictive and prescriptive aircraft maintenance. The International Air Transport Association (IATA) has determined the technologies and factors that will define how aviation industry will shape up in its recent report on “ Future of the Airline … Artificial Intelligence (AI) today is one of the hottest buzzwords in business and industry, and it has military applications, too. AI can revolutionize the design, … The European Aviation High Level Group has launched a new report, titled ‘FLY AI’, which aims to “demystify and accelerate” the use of AI in aviation. We do not fully understand what AI is capable of, and how AI will impact the industry… Meanwhile, the industry will also have to build an AI aviation/ATM community to attract future experts to the sector. This field directly involves SESAR, which has been coordinating all EU research and development activities in ATM since 2007 and actively contributed to the production of the report. Application areas include crew management, flight maintenance, ticketing, and passenger identification. Both EUROCONTROL and SESAR believe that the ongoing coronavirus crisis could help foster automation in the industry despite the challenges that it is causing. “A way forward would be to set up a community of practice.”. First, AI is quite expensive. “By accelerating the digital transformation in terms of optimising trajectories, creating ‘green’ routes and increasing prediction accuracy,” he says, “AI could make a real difference to mitigating the environmental impacts of aviation, in addition to providing decision-makers and experts with new features that could transform the ATM paradigm in terms of new techniques and operating procedures.”. Despite being considered as a future of the aviation industry, AI has some pitfalls. AI is being explored in the commercial airline segment of the aviation industry and is being integrated across multiple areas including customer service, airport and flight operations. But we have many challenges to overcome. Pilot, This is the argument of the recently-published FLY AI report, which sets out key steps towards a stronger adoption of AI, machine learning and other digital tools in several areas of aviation. Can we indeed anticipate a robot flying us from Seattle to Los Angeles any time soon? It is the beginning of an ongoing discussion on how to ensure that aviation continues to be in the business of freedom, now and in the future. Machine Learning and Data Analytics Symposium in Qatar. Over the last few years, AI has found a wide array of applications in the industry - from ground handling services to airport security and air traffic management (ATM) - and there is now scope … Humans are, after all, fallible and expensive. It covers the fundamentals, threats and opportunities of AI across the aviation industry. The European Aviation High Level Group on AI has published a report assessing the benefits of using AI in aviation and air traffic management. Lead authors EUROCONTROL and SESAR JU discuss the report’s takeaways and where automation can help the sector take off in the coming years with Adele Berti. “The crisis has shown the limits and significant efforts required when using the current manual approach or analytical tools to try to understand the impact of the crisis, predict and help business recovery,” says Bosman. On the other hand, EUROCONTROL has acted as leader of the project under the European Aviation High Level Group on AI. Airbus is also looking into the future in terms of new offerings that will use AI, be it in the form of urban air mobility or through the development of new data-based services," he finished. Advances in AI are reshaping the future for airlines. Pilotless aircraft could eliminate all these inefficiencies, and Boeing is starting to explore how to make it possible. Before we can even get to speculating about pilotless planes, urges Boyle, we need to consider how machine learning can impact other spaces within the aviation industry, like production and maintenance. Artificial Intelligence has many uses in various industries like education, healthcare, automation, technology, etc. In 2015, Boeing took a major step towards embracing AI and machine learning by partnering with Carnegie Mellon University’s Language Institute to research possibilities for machine learning, language technologies and data analytics in aviation. Machine learning digital assistants can mine huge amounts of historical data to support human operators on the ground or in the cockpit, A key takeaway from the report is that stronger cooperation is needed to integrate AI in the existing aviation architecture. Subscribe today! 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