Artificial Intelligence and Machine Learning in the Travel Industry Simplifying Complex Decision Making

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 Telecommunicati...

Full description

Bibliographic Details
Other Authors: Vinod, Ben (Editor)
Format: eBook
Language:English
Published: Cham Palgrave Macmillan 2023, 2023
Edition:1st ed. 2023
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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. 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 vicepresident 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.
Physical Description:VI, 182 p online resource
ISBN:9783031254567