Special Issue: Artificial Intelligence/machine Learning in the Travel Industryeconomies PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Special Issue: Artificial Intelligence/machine Learning in the Travel Industryeconomies PDF full book. Access full book title Special Issue: Artificial Intelligence/machine Learning in the Travel Industryeconomies by Ben Vinod. Download full books in PDF and EPUB format.
Author: Ben Vinod
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
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
Get Book Here
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: Scott J. Savage
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Vinod Kumar Shukla
Publisher: CRC Press
ISBN: 1000935280
Category : Business & Economics
Languages : en
Pages : 328
Get Book Here
Book Description
This informative volume on the shifting requirements of the hospitality service industry aims to incorporate smart information technology into tourism services. A resource written specifically for tourism service industry professionals, it provides a focused approach to introducing Industry 4.0-related technologies. It explains how artificial intelligence can support a company’s strategy to revolutionize the business by using smart technology most effectively. The chapters explore artificial intelligence, Internet of Things, big data, blockchain, and automation and robotics in the hospitality industry.
Author: Stanislav Ivanov
Publisher: Emerald Group Publishing
ISBN: 1787566870
Category : Business & Economics
Languages : en
Pages : 296
Get Book Here
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: Jasmin Armbruster
Publisher: GRIN Verlag
ISBN: 3346033457
Category : Travel
Languages : en
Pages : 28
Get Book Here
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.
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
Get Book Here
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: Johnny Ch Lok
Publisher:
ISBN:
Category :
Languages : en
Pages : 178
Get Book Here
Book Description
How artificial intelligence can raise office efficiency to bring benefits to online tourism and publish industries ?Artificial Intelligence is already impacting every industry through automation and machine learning, bringing concerns that AI is on the fast track to replacing many jobs. But these fears aren't new, says Dan Jackson, director of Enterprise Technology at Crestron, a company that designs workplace technology. "I'd argue this is no different than when we moved from an agricultural to an industrial economy at the turn of the last century. The percentage of people working in agriculture significantly decreased, and it was a big shift, but we still have plenty of jobs 100 years later," he says. Anytime society experiences a major technological advancement, we need to be prepared for it to change the way we live and work. It's hard to imagine what the future of jobs will look like with AI, but that future exists. And optimists suggest that, like the sewing machine to the textile industry, AI will make us better, more efficient and faster workers. In fact, many experts agree that AI has the potential to eliminate mundane, administrative work, while we will always rely on human workers to be empathetic, collaborative, creative and strategic. But it's impact on any industry lies in the hands of the business leaders who are responsible for adopting AI strategies. ⦁Training presents challengesA recent study of 1,000 global companies by Accenture found that AI is already creating three new categories of jobs: trainers, explainers and sustainers. Trainers are the people who teach AI systems how to act -- whether it's language, human behavior or the intricacies of human interaction. Explainers are the liaison between technology and business leaders, providing more insight and clarity into machine learning for the non-tech workers. Sustainers are the workers required to maintain AI systems and troubleshoot any potential issues. Some jobs were highly technical and required advanced degrees, but other roles demanded innately human things such as empathy and interaction. Downstream jobs, such as those in sales, marketing, or service will change to take advantage of the insights from AI, but many of the core skills will remain. However, it might sound like any job related to AI will require years of technical knowledge, but that isn't the case. We've already seen a shift in tech hiring -- companies often need highly specific skill sets that are hard to find in potential candidates. As a result, more businesses are hiring employees with the right soft skills, and then training them in technical skills. Internet negative influences to travel agentsAlthough, on the one hand, internet creates offline travel agents to use websites to help them to sell electronic air ticket or travel related products, such as prebooking hotel rooms, restaurants, transportation tools etc. travel service. However, on the other hand, internet also brings travel agencies competitive disadvantage with regad to suppliers' direct websites, when airlines are able to control seat availability and prices. Indeed internet cause the decision is made by the airlines to reduce and/or eliminate travel agency commission has led them to use technology that many of their distrust or are not inclined to use, and to compare prices and travel schedules constantly. As a result of this travel sale service environment, traditional offline travel agencies are at a competitive disadvantage with regard to online travel agencie and to airline carriers, which have developed their own direct websites where they are able to control seat availability and prices.
Author: Vladimir M. Filippov
Publisher: Springer Nature
ISBN: 3030315665
Category : Science
Languages : en
Pages : 334
Get Book Here
Book Description
The transition to Industry 4.0, and the subsequent ubiquitous digitalization and integration of artificial intelligence (AI) into the economic system, has set the stage for a fundamental change - one towards forming a cyber economy: a type of economy in which humans are economic subjects who interact with or are confronted with AI. This book examines these interactions and specifically analyzes the overall effects of digitalization on the workplace, and on the economic system of the future. Scholars from a diverse range of fields address both the challenges and opportunities of using AI in business sectors, as well as the role of people dealing with digital channels. In closing, the book discusses the need to, and options for, training and educating the labor force in the digital age.
Author: Roman Egger
Publisher: Springer Nature
ISBN: 3030883892
Category : Business & Economics
Languages : en
Pages : 647
Get Book Here
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
