Don’t be left at the gate: A practical guide to AI adoption for airports

Chris Crist
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Chris Crist: Hartsfield-Jackson Atlanta International Airport, USA

Journal of Airport Management, 2024, vol. 19, issue 1, 6-14

Abstract: Modern airports face increasing challenges due to the growing number of passengers and evolving security threats. The successful operation of an airport requires a delicate balance between efficiency, security and passenger satisfaction. Artificial intelligence (AI) offers the potential to revolutionise airport operations by improving passenger experience, enhancing security and optimising efficiency. Implementing AI presents challenges, however, including the need for a strong data foundation and a focused approach. Organisations should avoid trying to do too much at once and focus on specific AI applications. Building a data-driven culture and investing in data teams and chief data officers (CDOs) are essential for successful AI adoption. By addressing these challenges and embracing AI, airports can create a more efficient, secure and passenger-friendly environment.

Keywords: artificial intelligence; AI; data-driven decision making; passenger experience; future airports; airport technology; airport management (search for similar items in EconPapers)
JEL-codes: M1 M10 R4 R40 (search for similar items in EconPapers)
Date: 2024
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