Advancing Smart Tourism Through Analytics
Download Advancing Smart Tourism Through Analytics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Advancing Smart Tourism Through Analytics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Advancing Smart Tourism Through Analytics
The tourism industry is rapidly evolving, driven by technological advancements and the increasing demand for personalized, immersive experiences. However, many businesses need help to effectively harness the power of data analytics and artificial intelligence (AI) to meet these evolving demands. The need for more understanding and expertise in utilizing AI-driven data analytics poses a significant challenge for professionals in the tourism sector, hindering their ability to drive operational efficiency and enhance decision-making. Advancing Smart Tourism Through Analytics provides a revolutionary solution to this pressing challenge. By offering a comprehensive guide that bridges the gap between data analytics, smart tourism, and AI, this book empowers scholars, practitioners, and researchers to unlock the full potential of AI in the tourism industry. With a focus on theoretical foundations and practical implementations, this book equips readers with the skills and knowledge to effectively integrate AI-driven data analytics into their business strategies.
Machine Learning and Robotics in Urban Planning and Management
The integration of advanced technologies has led to drastic changes in the field of urban planning and management. When using large amounts of data from numerous sources, machine learning models can mimic past scenarios which predict future events. Urban planners use these predictions when making infrastructure or administrative decisions geared towards a highly efficient and sustainable urban environment. Machine learning algorithms can reduce the wait times at intersections, stop-and-go traffic, and overall congestion by adjusting signal timings on a real-time basis according to live density of vehicles. Conventional bottlenecks are identified and possible route changes proposed to generate improved traffic flow across regions. Further research may continue encouraging urban planning and management innovation. Machine Learning and Robotics in Urban Planning and Management explores the integration of machine learning and robotics technology in urban and regional development. It examines solutions for traffic management, infrastructure improvements, and prediction models using intelligent technology. This book covers topics such as neural networks, smart cities, and transportation systems, and is a useful resource for urban developers, business owners, scientists, civil engineers, academicians, and researchers.
Open Innovation and Technology in Tourism and Hospitality
Tourism and hospitality companies face different challenges related to sustainability, innovation, digital transformation, and consumer behavior. The adoption of innovative technologies has improved customer experience, optimized internal processes, and created new forms of traveler interactions. Tourism professionals must be prepared for a more high-tech, sustainability-oriented world that has become ingrained in daily life. However, the response to these challenges requires an open innovation approach, which involves collaboration with external partners and the creation of knowledge. Further research into this approach may revolutionize the way companies develop and implement new technologies. Open Innovation and Technology in Tourism and Hospitality explores how open innovation and technology shape the future of tourism and hospitality. It examines how companies can take advantage of these trends to remain competitive and relevant in today's market. Covering topics such as user-centered hospitality, thermalism, and healthy eating, this book is an excellent resource for entrepreneurs, managers, economists, business owners, researchers, academicians, and more.