Artificial Intelligence (AI) is among the most exciting and disruptive technologies in industry today. And there’s a growing awareness of the possibilities around AI in airlines too. Indeed, the market for AI in airlines is expected to reach $2.2bn by 2025, showing just how much the industry is investing in this technology.
Like many new technologies, the spoils of AI will go to the early adopters. The airlines which begin using AI today will gather serious experience and expertise about how it works and how it can be used to improve everything from operations to customer service. That will give them an important edge over late adopters who may well struggle to catch up.
Let’s look at how AI is being used in the airline industry today, some of the challenges that need to be overcome, and where you can start.
5 use cases for AI in airlines
Since AI is still a relatively recent technology, its potential use cases in the aviation sector are only beginning to be explored. Nonetheless, the following 5 examples of AI in airlines are indicative of the way the industry is increasingly turning to this technology.
Potential challenges for AI in airlines
While using AI in airlines has enormous potential benefits, it’s valuable to be aware of some of the possible drawbacks and obstacles too:
While AI and data science in airlines is still at a relatively early stage of development, the future looks promising - for revenues, safety and customer experience. So where should airlines start?
AI depends more than anything on good quality data - and so a key step to becoming AI-ready is to begin preparing your data to ensure it can be used by current and future AI systems. Conztanz provides a data platform dedicated to the airline industry, providing the foundation to start in this new domain. The platform structures your legacy data and ensures it can be integrated with modern software solutions - contact us today to learn how we can help you become AI-ready.