Overview
- Includes case studies of successful innovation in organisations
- Addresses why AI has been less quickly adopted in the travel industry
- Explores technological innovation in the travel industry
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About this book
Over the past decade, Artificial Intelligence has proved invaluable in a range of industry verticals such as automotive and assembly, life sciences, retail, oil and gas, and travel. The leading sectors adopting AI rapidly are Financial Services, Automotive and Assembly, High Tech and Telecommunications. Travel has been slow in adoption, but the opportunity for generating incremental value by leveraging AI to augment traditional analytics driven solutions is extremely high.
The contributions in this book, originally published as a special issue for the Journal of Revenue and Pricing Management, showcase the breadth and scope of the technological advances that have the potential to transform the travel experience, as well as the individuals who are already putting them into practice.
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Keywords
Table of contents (15 chapters)
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Front Matter
Editors and Affiliations
About the editor
Ben Vinod is a co-founder of Charter and Go, a dynamic offer, order management, and dispatch solution for air charter operators. He served as vice president of pricing, yield management, and reservations inventory control at American Airlines Decision Technologies (1993–1999) and was senior vice president and chief scientist at Sabre (2008–2020), focused on innovation and thought leadership in pioneering advanced solutions across the travel value chain for travel suppliers and intermediaries. He has published over 50 articles in academic and trade journals, is a member of AGIFORS, and serves on the editorial board of the Journal of Revenue and Pricing Management.
Bibliographic Information
Book Title: Artificial Intelligence and Machine Learning in the Travel Industry
Book Subtitle: Simplifying Complex Decision Making
Editors: Ben Vinod
DOI: https://doi.org/10.1007/978-3-031-25456-7
Publisher: Palgrave Macmillan Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-25455-0Published: 27 May 2023
Softcover ISBN: 978-3-031-25458-1Due: 27 June 2023
eBook ISBN: 978-3-031-25456-7Published: 26 May 2023
Edition Number: 1
Number of Pages: VI, 182
Additional Information: Spin-off from Journal of Revenue and Pricing Management, Special Issue "Artificial Intelligence / Machine Learning in the Travel Industry", Volume 20, Issue 3, March 2021
Topics: Business and Management, general, Tourism Management