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 sheds light on the critical role of AI and Big Data in accelerating smart healthcare services, exemplified by their significance in managing the COVID-19 pandemic. By showcasing recent advancements, methodologies, and systems, this collection of high-quality research provides valuable insights on leveraging AI and Big Data technologies for the betterment of businesses and societies.

Emerging Advancements in AI and Big Data Technologies in Business and Society 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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Advanced AIIot Convergent Services, Systems, Infrastructure, and Techniques
AI-Empowered Big Data Analytics
AI-Empowered Innovative Classification Techniques
AI-IoT Convergent Smart System
AIIot-Supported Approaches and Testbeds
AI-Supported Healthcare
AI-Supported IoT Data Analytics
Big Data Convergence Technology
Business and Society
Cognitive Computing
Intelligent IoT-Driven Diagnosis and Prognosis Mechanisms
Intelligent, Autonomous, and Multi-Agents
IoT Cloud-Based Predictive Analysis
IoT-Cloud Platform
Machine Learning
Pandemic Management and Monitoring
Security and Privacy

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Editor/Author Biographies

Jingyuan Zhao obtained her PhD in Management Science and Engineering from University of Science and Technology of China (accredited by AACSB and EQUIS). Dr. Zhao's research expertise includes management of technology innovation, technology strategy, behavior and information technology, regional innovation systems and global innovation networks, high-tech industries, multinational governance, and science and technology policy. She has teaching experience of 15 years at the graduate and undergraduate level. Research portfolio includes more than fifty peer-reviewed articles in highly regarded journals, authored books, multiple book chapters, and conference presentations. Dr. Zhao also has extensive industry experience and provides consulting services to major corporations such as China Mobile. She serves as editor-in-chief of International Journal of e-Collaboration(IJeC). Currently she is a professor at University of Toronto.

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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