Artificial Intelligence in travel

被引：5

作者：

Vinod, B. ^{[1
]}

机构：

[1] Charter & Go, 2804 Crestridge Ct, Grapevine, TX 76051 USA

来源：

JOURNAL OF REVENUE AND PRICING MANAGEMENT | 2021年 / 20卷 / 03期

关键词：

Travel; Artificial Intelligence; Machine learning; Robotic process automation; Cognitive insight; Cognitive engagement; Adoption; Experimentation;

D O I：

10.1057/s41272-021-00319-w

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

摘要：

Over the past four decades Operations Research (OR) has played a key role in solving complex problems in airline planning and operations. Over the past decade Artificial Intelligence (AI) has seen a rapid growth in adoption across a range of industry verticals such as automotive, telecommunications, aerospace, and health care. It has been acknowledged that while adoption of AI in the travel industry has been slow, the potential incremental value is high. This paper discusses the role of AI and a range of applications in travel to support revenue growth and customer satisfaction.

引用

页码：368 / 375

页数：8

共 29 条

[11]

IdeaWorks Company.com and Cartrawler, 2019, CARTRAWLER WORLDWIDE

[12]

Kaka N., 2018, MCKINSEY GLOBAL I

[13]

Khalil EB, 2016, AAAI CONF ARTIF INTE, P724

[14] Discovering patterns in traveler behaviour using segmentation [J].

Kothari, Aditya ;

Madireddy, Manini ;

Sundararajan, Ramasubramanian .

JOURNAL OF REVENUE AND PRICING MANAGEMENT, 2016, 15 (05) :334-351

[15]

Levesque H. J., 2011, Winograd schema challenge

[16]

Lichfield G, 2020, MIT REV

[17]

Liu B., 2000, C INF KNOWL MAN 2000

[18]

Marques M, 2018, TOP 3 CHATBOTS ARE C

[19]

Martinis J, 2019, Quantum supremacy using a programmable superconducting processor

[20]

Musser G, 2019, SCI AM, V320, P59

← 1 2 3 →