Special Issue: Artificial Intelligence/machine Learning in the Travel Industryeconomies PDF Download
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Author: Ben Vinod
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Ben Vinod
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Ben Vinod
Publisher: Springer Nature
ISBN: 3031254562
Category : Business & Economics
Languages : en
Pages : 182
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Book Description
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.
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Author: Scott J. Savage
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
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Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Author: Stanislav Ivanov
Publisher: Emerald Group Publishing
ISBN: 1787566870
Category : Business & Economics
Languages : en
Pages : 296
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Book Description
Using a combination of theoretical discussion and real-world case studies, this book focuses on current and future use of RAISA technologies in the tourism economy, including examples from the hotel, restaurant, travel agency, museum, and events industries.
Author: Zheng Xiang
Publisher: Springer Nature
ISBN: 3030486524
Category : Business & Economics
Languages : en
Pages : 1976
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Book Description
This handbook provides an authoritative and truly comprehensive overview both of the diverse applications of information and communication technologies (ICTs) within the travel and tourism industry and of e-tourism as a field of scientific inquiry that has grown and matured beyond recognition. Leading experts from around the world describe cutting-edge ideas and developments, present key concepts and theories, and discuss the full range of research methods. The coverage accordingly encompasses everything from big data and analytics to psychology, user behavior, online marketing, supply chain and operations management, smart business networks, policy and regulatory issues – and much, much more. The goal is to provide an outstanding reference that summarizes and synthesizes current knowledge and establishes the theoretical and methodological foundations for further study of the role of ICTs in travel and tourism. The handbook will meet the needs of researchers and students in various disciplines as well as industry professionals. As with all volumes in Springer’s Major Reference Works program, readers will benefit from access to a continually updated online version.
Author: Roman Egger
Publisher: Springer Nature
ISBN: 3030883892
Category : Business & Economics
Languages : en
Pages : 647
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Book Description
Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented. The correct methodical application is presented with a "how-to" approach, together with code examples, allowing a wider reader base including researchers, practitioners, and students entering the field. The book is a very well-structured introduction to data science – not only in tourism – and its methodological foundations, accompanied by well-chosen practical cases. It underlines an important insight: data are only representations of reality, you need methodological skills and domain background to derive knowledge from them - Hannes Werthner, Vienna University of Technology Roman Egger has accomplished a difficult but necessary task: make clear how data science can practically support and foster travel and tourism research and applications. The book offers a well-taught collection of chapters giving a comprehensive and deep account of AI and data science for tourism - Francesco Ricci, Free University of Bozen-Bolzano This well-structured and easy-to-read book provides a comprehensive overview of data science in tourism. It contributes largely to the methodological repository beyond traditional methods. - Rob Law, University of Macau
Author: Manish Sharma
Publisher: Springer Nature
ISBN: 9464634375
Category : Electronic books
Languages : en
Pages : 574
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Book Description
Author: Jasmin Armbruster
Publisher: GRIN Verlag
ISBN: 3346033457
Category : Travel
Languages : en
Pages : 28
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Book Description
Seminar paper from the year 2018 in the subject Tourism - Miscellaneous, grade: 1,3, University of Applied Sciences Kempten, language: English, abstract: Tourismus ist ein wichtiger Wirtschaftszweig und beschäftigt Millionen von Menschen weltweit. Die Zahl der Reisenden steigt kontinuierlich an und es ist kein Ende in Sicht. Diese Entwicklung beeinflusst zunehmend die Hotellerie, denn es entwickelt sich ein starker Wettbewerb zwischen kleinen und mittelständigen Hotels. Die Aufgabe der Hotels ist es also, möglichst rentable Kundenbeziehungen aufzubauen, um weiterhin am Markt präsent zu sein. In der Vergangenheit reichte es aus, die Kunden zufrieden zu stellen, doch dies ist heutzutage längst nicht genug. Die Hotels müssen einen hervorragenden Service anbieten, um die Kundenwünsche zu übertreffen und sich dadurch einen Vorteil gegenüber der Konkurrenz zu verschaffen. Durch die technologischen Entwicklungen im Bereich Künstliche Intelligenz, gibt es immer mehr Möglichkeiten, die hierfür genutzt werden können. Der Einsatz von Maschine Learning, Natural Language Processing und Robotern bietet Hotelmanagern die nötigen Voraussetzungen. Der Dienstleistungssektor ist jedoch stark von Menschen geprägt und somit stellt sich die Frage, inwiefern Künstliche Intelligenz die Kundenzufriedenheit und das Erlebnis im Hotel verbessern kann. Diese Hausarbeit widmet sich der beschriebenen Problematik und versucht durch eine Literaturrecherche die Thematik zu erforschen.
