Today, the convergence of Artificial Intelligence (AI) and Big Data has revolutionized industries worldwide, driving business growth and reshaping societies. While these technologies have yielded remarkable benefits, many developing countries face challenges in harnessing their potential due to inadequate data collection and availability. Emerging Advancements in AI and Big Data Technologies in Business and Society delves into the profound impact of AI and Big Data on the digital landscape and their transformative influence on social, economic, and political spheres. With a historical overview of AI's evolution and its operational definition, this book explores interconnected subfields such as problem-solving, intelligent agents, natural language processing, computer vision, and machine learning. AI is hailed as the fourth industrial revolution and the widespread use of AI technologies prompts discussions about their applications, performances, and societal impact. This book serves as a comprehensive guide for academics, researchers, and students in universities and engineering schools. It also caters to policymakers, government officers, corporate leaders, technology directors, and managers seeking to understand the potential of AI and Big Data. Additionally, libraries and information centers catering to the needs of these professionals will find this book an essential resource.
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Jingyuan Zhao is a Research Fellow at the Department of Political Science, University of Toronto. She was a professor at School of Management, Beijing Union University, China. Her PhD is in Management Science and Engineering from the Chinese Academy of Sciences and University of Science and Technology of China. She completed two Postdoctoral Programs in Technology Economy and Management from Harbin Institute of Technology, China, and Management of Technology from University of Quebec at Montreal, Canada. Dr. Zhao's expertise is on regional innovation management, high-tech industry cluster, knowledge management, technology diffusion, organizational learning.
Joseph Richards joined the marketing faculty at CSUS in 2001. He holds a doctorate in Marketing with further specialization in Econometrics. He is an active researcher in the fields of Internet related aspects of consumer behavior, marketing strategy, marketing analytics, and statistical and quantitative marketing models. Recent research and focus is in big data analytics. His publications have appeared in many leading journals such as the Journal of Statistical Planning and Inference, Marketing Management Journal, Journal of International Consumer Marketing, and Journal of Hospital Marketing and Public Relations. In 2005, he received the best marketing research conference paper award from the American Marketing Association. Academic credentials include a Ph.D. from Syracuse University (2002), Post Graduate Diploma from the Indian Institute of Management, Bangalore (1993), and B.Tech. (Hons.) from the Indian Institute of Technology, Kharagpur (1988). Worked in industry for many years before joining academia in 2001 with wide ranging experience in engineering, operations, marketing, and project management.
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