In the modern data-driven era, artificial intelligence (AI) and machine learning (ML) technologies that allow a computer to mimic intelligent human behavior are essential for organizations to achieve business excellence and assist organizations in extracting useful information from raw data. AI and ML have existed for decades, but in the age of big data, this sort of analysis is in higher demand than ever, especially for customer support and analytics. The Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics investigates the applications of AI and ML and how they can be implemented to enhance customer support and analytics at various levels of organizations. This book is ideal for marketing professionals, managers, business owners, researchers, practitioners, academicians, instructors, university libraries, and students, and covers topics such as artificial intelligence, machine learning, supervised learning, deep learning, customer sentiment analysis, data mining, neural networks, and business analytics.
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Dr. Md. Shamim Hossain is an accomplished academic and researcher in the field of marketing, with a research focus on the applications of machine learning in marketing, operations management, online business, e-marketing, self-service technologies (SSTs), e-commerce, m-banking, online customer behavior, and other areas of business. He received his Ph.D. in Business Management from the University of International Business and Economics (UIBE) in Beijing, China, and is currently an Associate Professor in the Department of Marketing at Hajee Mohammad Danesh Science and Technology University (HSTU) in Bangladesh. Dr. Hossain has published numerous research papers in prestigious journals, including the Journal of Retailing and Consumer Services, the Economic Analysis and Policy, the Journal of Food Quality, the Discrete Dynamics in Nature and Society, the Mathematical Problems in Engineering, the Journal of Healthcare Engineering, the Journal of Sport Psychology, the Journal of Hospitality and Tourism Insights, the Journal of Islamic Marketing, the FIIB Business Review, the Economic Research-Ekonomska Istraivanja, and the International Journal of Engineering Business Management. He has also contributed book chapters to several high-quality textbooks published by IGI-Global in the United States. In addition to his research work, Dr. Hossain is a dedicated teacher and has taught a variety of courses in marketing at HSTU. He is highly regarded for his engaging teaching style and his ability to make complex marketing concepts accessible and interesting. Dr. Hossain is a pioneer in the field of machine learning-based marketing and is actively engaged in research related to this area. He can be reached at shamimuibe@yahoo.com for any further inquiries or collaborations related to his research or teaching.
Dr. Ree Chan Ho is program director for postgraduate business degrees at Taylor's University, Malaysia. He has vast academic and administrative experiences in tertiary education institutes. His academic portfolio includes dean, principal lecturer, stream coordinator, program leader, etc. Prior to his academic career, he worked in the capacity of business analyst, project manager, and regional manager in the development of business enterprise systems. He has published in numerous indexed journals and received several best paper awards at international conferences. His current research interests include information and knowledge management, business technology, online business, social commerce, and data analytics.(7d2e7b97-f059-490c-a95d-529162fceb93)
Goran Trajkovski Ph.D., MSML, MSCS, MBA, currently serves as a Senior Lead College Compliance Advisor at Western Governors University. He specializes in program, courseware, and assessmentware design and development for high-demand computing and data-science disciplines, and in the regulatory and accreditation processes in the higher education domain. He has been involved in the eLearning movement since its inception, through the conceptualization, development, and deployment of more than 35 undergraduate and graduate programs in a variety of disciplines for online delivery and leading the development of more than 300 online courses. During his three decades in Higher Education, he has served in a variety of instructional and administration roles, including Dean of the School of Computer Information Systems at Virginia International University, Executive Director of Adult and Graduate Studies at Marian University, and Director of Product Strategy and Development at Laureate Education, Inc.
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the modern data-driven era, artificial intelligence (AI) and machine learning (ML) technologies that allow a computer to mimic intelligent human behavior are essential for organizations to achieve business excellence and assist organizations in extracting useful information from raw data. AI and ML have existed for decades, but in the age of big data, this sort of analysis is in higher demand than ever, especially for customer support and analytics. The Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics investigates the applications of AI and ML and how they can be implemented to enhance customer support and analytics at various levels of organizations. This book is ideal for marketing professionals, managers, business owners, researchers, practitioners, academicians, instructors, university libraries, and students, and covers topics such as artificial intelligence, machine learning, supervised learning, deep learning, customer sentiment analysis, data mining, neural networks, and business analytics. Nº de ref. del artículo: 9781668471050
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