Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Für diesen Artikel ist leider kein Bild verfügbar.

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

Buch | Softcover
459 Seiten
2024
Engineering Science Reference (Verlag)
979-8-3693-0684-0 (ISBN)
CHF 399,95 inkl. MwSt
  • Versand in 10-20 Tagen
  • Versandkostenfrei
  • Auch auf Rechnung
  • Artikel merken
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.

Jingyuan Zhao obtained her PhD in Management Science and Engineering from University of Science and Technology of China. She completed postdoctoral programs respectively in Technological Economics with Harbin Institute of Technology, in Management of Technology with Université du Québec à Montréal, in Innovation and Governance with University of Toronto, in Mathematical and Computational Science with University of Toronto Mississauga. Dr. Zhao's research expertise includes management of technology innovation, behavior and information technology, high-tech industries, multinational governance, and science and technology policy. 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). 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. V. Vinoth Kumar is an Associate Professor in the Department of Computer Science and Engineering in MVJ College of Engineering, Bangalore, India. He is a highly qualified individual with around 8 years of rich expertise in teaching, entrepreneurship, and research and development with specialization in computer science engineering subjects. He has been a part of various seminars, paper presentations, research paper reviews, and conferences as a convener and a session chair, a guest editor in journals and has co-authored several books and papers in national, international journals and conferences. He is a professional society member for ISTE, IACIST and IAENG. He has published more than 15 articles in National and International journals, 10 articles in conference proceedings and one article in book chapter. He has filed Indian patent in IoT Applications. His Research interest includes Mobile Adhoc Networking and IoT.

Erscheinungsdatum
Reihe/Serie Advances in Computational Intelligence and Robotics
Verlagsort Hershey, PA
Sprache englisch
Maße 216 x 279 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
ISBN-13 979-8-3693-0684-0 / 9798369306840
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Der Grundkurs für Ausbildung und Praxis

von Ralf Adams

Buch (2023)
Carl Hanser (Verlag)
CHF 41,95
Modern data warehouse, data fabric, data lakehouse und data mesh …

von James Serra

Buch | Softcover (2024)
O'Reilly (Verlag)
CHF 55,85