The future of AI is the market
Ross M. Darrow ()
A chapter in Artificial Intelligence and Machine Learning in the Travel Industry, 2023, pp 177-182 from Springer
Abstract:
Abstract We’ve made great progress with the current generation of AI, with learning customer preferences embedded in recommender systems to better customize offerings. This is perfect for the New Distribution Capability that IATA is spearheading for the airline industry. To truly make this work, and not just for airlines but for all travel (hotels, rental cars, attractions, concerts, tours, and more), we need to move on from (a) supervised learning built upon masses of data to systems that learn on the fly with little data, and from (b) centralized (even if in the cloud) machine learning to distributed artificial intelligence, and from (c) recommender systems to marketplace approaches.
Keywords: Customer Value Chain; Microeconomics; New distribution capability; Multi-armed bandits; Multi-agent; systems; Marketplace; Distribution artificial intelligence (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
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:sprchp:978-3-031-25456-7_15
Ordering information: This item can be ordered from
http://www.springer.com/9783031254567
DOI: 10.1007/978-3-031-25456-7_15
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().