Artificial Intelligence and Emerging Technologies in Travel
Ben Vinod
Additional contact information
Ben Vinod: Charter and Go
Chapter 11 in The Evolution of Yield Management in the Airline Industry, 2021, pp 313-337 from Springer
Abstract:
Abstract Over the past four decades Operations Research (OR) has played a key role in solving complex problems in airline planning and operations. More recently, Artificial Intelligence (AI) has seen rapid adoption in travel that covers everything from robotic process automation, cognitive insight to cognitive engagement. This chapter discusses the role of AI in travel, its potential to address travel complexity, solve a range of problems, and create new value propositions. This chapter also covers the role of Big Data and block chain technology in travel. Big Data and blockchain are explained with a range of use cases.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-3-030-70424-7_11
Ordering information: This item can be ordered from
http://www.springer.com/9783030704247
DOI: 10.1007/978-3-030-70424-7_11
Access Statistics for this chapter
More chapters in Management for Professionals from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().