| 期刊全稱 | Artificial Intelligence and Machine Learning in the Travel Industry | | 期刊簡稱 | Simplifying Complex | | 影響因子2023 | Ben Vinod | | 視頻video | http://file.papertrans.cn/163/162246/162246.mp4 | | 發(fā)行地址 | Includes case studies of successful innovation in organisations.Addresses why AI has been less quickly adopted in the travel industry.Explores technological innovation in the travel industry | | 圖書封面 |  | | 影響因子 | .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.. | | Pindex | Book 2023 |
The information of publication is updating
|
|