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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: 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: 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: Ben Vinod
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Stanislav Ivanov
Publisher: Emerald Group Publishing
ISBN: 1787566897
Category : Business & Economics
Languages : en
Pages : 361
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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: Vinod Kumar Shukla
Publisher: CRC Press
ISBN: 1000935280
Category : Business & Economics
Languages : en
Pages : 328
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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: 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.
Author: Correia, Ricardo
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 285
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Book Description
The tourism industry faces pressing challenges amidst the integration of artificial intelligence (AI) technologies. It is necessary to address the lack of a comprehensive understanding of AI's impact on the sector, emphasizing its role in reshaping the travel ecosystem, enhancing customer experiences, and optimizing operational efficiency. Ethical considerations surrounding AI implementation in tourism must be thoroughly examined to guide responsible technology use. AI Innovations for Travel and Tourism illuminates how AI revolutionizes travel ecosystems, beginning with an insightful introduction to AI's impact on tourism, laying the groundwork for a nuanced understanding of its transformative potential. Delving into personalized travel planning, the book navigates the reader through the intricacies of AI-enhanced destination recommendations, digging into how these technologies redefine the travel experience. Smart booking systems and travel experiences demonstrate how AI streamlines operations and raises customer satisfaction. This book is ideal for tourism scholars, educators, students, researchers, and industry professionals.
Author: Johnny Ch LOK
Publisher:
ISBN:
Category :
Languages : en
Pages : 208
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Book Description
Predictive search will improve the quality of online travelling search results, and provide new insights into travelling consumers' travelling destination and package behavior and the moments which matter to them. Search will give recommendation into tailored how travelling consumer individual travelling destination choice in travelling decision making process. Several of the largest online platforms already use (AI) travelling machine learning to improve predictive travelling consumer behavioral search results. For example, Google's rank brain technology adds research by understanding the context in which the travelling consumer has entered it. Over time, rank brain will learn further from user behaviors Amazon's DSSTNE ( pronouned destiny) learns from shoppers' purchasing habits and consumption behavior to offer better product recommend actions, which Amazon can offer before a consumer has entered anything into the search bar. Such as (AI) big data can gather past online travelers' e-ticket purchase transactions to conclude that online traveler's travelling choice habits and online traveler consumption behavior to offer better travelling destinations and travelling package opinions to travel agents or airlines. However, this technology is not independent of human input. For example, Google engineers will periodically retain the rank brain system to improve the models it uses. For another example, in 2016 year , Apple computer revamped its travelling scene photos app to allow travelling consumers to search for specific travelling destinations in the travelling scene phots, they want to find anywhere travelling destination photos, not just dates and locations. Each travelling photo that an intelligent phone or intelligent pad user takes goes through 11 billion computations, so that travelling scene photos can understand exactly where is the travelling destination photography to let online travelling consumer to feel anywhere they plan to go to the location to travel. So, (AI) learning machine can make online travelling photos more attractive to influence potential travelers choose to the destination to travel after they see the travelling destination scene photos from internet.It seems that in future, (AI) machine learning will allow online travelling search to evolve even further. Search engineers will deliver refined recommendations to airlines' online traveler e-ticket search users and use less human input to predict travelling consumers' needs from internet channel. For IBM computer example, it indicated 90% of the data that exists today has been created in the last two years. This huge explosion of past traveler's e-ticket consumption data gives the opportunity to quickly spot and react to the latest trends, fashion and fads among its travelling clients and potential clients. This will allow airline or travel agent companies to better engage with younger travelling consumers, who gain influence access to the latest travelling destination and package trends. They associate with to help define who they are as individuals. Thus, travelling company brands have to identify and make use of them before travelling consumers move on, but the vast quantity of past e-ticket purchase data available makes from internet channel. This a resource-intensive task. For next example, Lesara, a based online clothes store, uses this machine learning to inform its product decision often gathering information from internal and external sources.
Author: Johnny Ch Lok
Publisher:
ISBN:
Category :
Languages : en
Pages : 178
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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: Hassan, Viana
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 383
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Book Description
In the ancient world, health seekers traversed vast distances to pursue well-being. Fast forward to the 21st century, and the concept of medical tourism has evolved into a global industry worth billions of dollars. The burgeoning demand for quality healthcare has pushed traditional boundaries, necessitating a more sophisticated and interconnected healthcare ecosystem. Integrating Artificial Intelligence (AI) into medical practices empowers individuals to actively manage their health while providing healthcare practitioners with invaluable insights for tailored patient care. Impact of AI and Robotics on the Medical Tourism Industry delves into the transformative impact of AI and robotics on this dynamic sector. It explores how AI can encourage and assist patients in their health plans while augmenting healthcare practitioners' capabilities to utilize specific patient data to offer unique guidance. It dissects real-world examples, such as Cleveland Clinic Abu Dhabi's integration of robotic surgery, showcasing how these technologies revolutionize traditional medical practices.
