Artificial Intelligence in Aviation Industry

By Jyoti Nigania |Email | May 29, 2018 | 10776 Views

Technological revolutions have become a norm in this era of innovation. Aviation is on the radar next. The global aviation industry has been rising exponentially. AI is potentially penetrating all the industries now it is also entering in the aviation industries as well.  Aviation is starting to implement AI in many ways in order to modernize business and improve customer experience. 

The aviation industry needs to move beyond its present ways of working and find out better ways to enhance resources, improve customer satisfaction and safety records, control costs is the prime objective. Data is the only key to unlocking the potential, and the aviation industry must leverage Artificial Intelligence. 

Before starting with the technology certain use cases can be implemented like facial recognition, baggage check-in, customer queries and answers, aircraft fuel optimization and factory operations optimization. But AI can go far beyond the current use cases and it is very advanced technology. 

  • Passenger Identification: The idea behind this is that the machines will perform end to end task like passenger identification and their check-in time at airport. Delta is keen on AI and announced that it will very soon invest in this technology for automated self-service bag and facial recognition technology. In other words, Delta Air Lines is using self-service kiosks that use facial recognition technology to verify customer identity by matching customer faces to passport photos.

  • Baggage Tracking: The airports are investing new technologies that will support the baggage tracking and screening services. They are predicting that AI-powered machines will be able perform this task without the human intervention. As it will enhance the operational efficiency and security and also provide good passenger experience.   

  • Customer Assistance: United Airlines has tied up with Amazon Alexa to help customers check in and learn about their flights. This will help the passengers to get the necessary information on time. 

  • Tracking Progress: This is the major challenge that every transport or airlines industries are facing. The first thing is to develop analytics that will help them develop and process accurate data. It is itself a challenge that what kind of analytics will help, as customer satisfaction is going to be one of the most important factors in success. So we have to focus that what kind of analytics will determine that airlines have been improving on customer satisfaction parameters.

Conclusion: It is surprising that a sector as important as aviation has woken up to AI. As AI in aviation picks up its pace, there could probably be a few mergers, acquisitions or even closure of small airlines which will not be able to afford the investments. Now, AI seems the best option to take aviation to the next level.

Source: HOB