@article{1468439,
      recid = {1468439},
      author = {Vinod, Ben,},
      title = {Artificial intelligence and machine learning in the travel  industry : simplifying complex decision making /},
      pages = {1 online resource (vi, 182 pages)},
      abstract = {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. Ben Vinod is a co-founder of Charter and Go, a  dynamic offer, order management, and dispatch solution for  air charter operators. He served as vice president of  pricing, yield management, and reservations inventory  control at American Airlines Decision Technologies  (1993-1999) and was senior vice president and chief  scientist at Sabre (2008-2020), focused on innovation and  thought leadership in pioneering advanced solutions across  the travel value chain for travel suppliers and  intermediaries. He has published over 50 articles in  academic and trade journals, is a member of AGIFORS, and  serves on the editorial board of the Journal of Revenue and  Pricing Management. .},
      url = {http://library.usi.edu/record/1468439},
      doi = {https://doi.org/10.1007/978-3-031-25456-7},
}