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The future of AI is the market

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  • Ross M. Darrow

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.

Suggested Citation

  • Ross M. Darrow, 2021. "The future of AI is the market," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 381-386, June.
    • Handle: RePEc:pal:jorapm:v:20:y:2021:i:3:d:10.1057_s41272-021-00321-2
    DOI: 10.1057/s41272-021-00321-2
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    References listed on IDEAS

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    1. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
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    Cited by:

    1. Ku, Edward C.S., 2022. "Developing business process agility: Evidence from inter-organizational information systems of airlines and travel agencies," Journal of Air Transport Management, Elsevier, vol. 103(C).

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