Convergence of cloud with AI for big data analytics : foundations and innovation / edited by Danda B. Rawat, Lalit K. Awasthi, Valentina Emilia Balas, Mohit Kumar and Jitendra Kumar Samriya.

This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and bi...

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Bibliographic Details
Online Access: Full Text (via O'Reilly/Safari)
Other Authors: Rawat, Danda B., 1977- (Editor), Awasthi, Lalit Kumar (Editor), Balas, Valentina Emilia (Editor), Kumar, Mohit (Editor), Samriya, Jitendra Kumar (Editor)
Format: eBook
Language:English
Published: Hoboken, NJ : Beverly, MA : Wiley ; Scrivener Publishing, 2023.
Series:Advances in learning analytics for intelligent cloud-IoT systems
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Description
Summary:This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework. Audience Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.
Physical Description:1 online resource.
Bibliography:Includes bibliographical references and index.
ISBN:9781119905233
1119905230
9781119905226
1119905222
9781119905219
1119905214
Source of Description, Etc. Note:Online resource; title from PDF title page (John Wiley, viewed February 15, 2023).