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Artificial Intelligence and Machine Learning in the Travel Industry

von Ben Vinod
Über Artificial Intelligence and Machine Learning in the Travel Industry

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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  • Sprache:
  • Englisch
  • ISBN:
  • 9783031254550
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 188
  • Veröffentlicht:
  • 27. Mai 2023
  • Ausgabe:
  • 23001
  • Abmessungen:
  • 215x16x285 mm.
  • Gewicht:
  • 727 g.
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Beschreibung von Artificial Intelligence and Machine Learning in the Travel Industry

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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