Convergence of Cloud with AI for Big Data Analytics

Name: Convergence of Cloud with AI for Big Data Analytics
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SKU: 9781119904885
Price: 429.99 NZD
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Foundations and Innovation

Series: Advances in Learning Analytics for Intelligent Cloud-IoT Systems

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Summary

The book Convergence of Cloud with AI for Big Data Analytics explores how cloud computing is integrated with artificial intelligence to enhance big data analytics. It delves into the latest technologies and methodologies that enable effective data processing, storage, and insight generation. By examining real-world applications, the book illustrates how the convergence of these technologies is transforming industries and decision-making processes.
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Format: Hardback

$429⁹⁹

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Convergence of Cloud with AI for Big Data Analytics

$429⁹⁹

Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

You might enjoy this book if you're intrigued by the intersection of advanced cloud technologies and artificial intelligence to enhance big data analytics. It appeals to those keen on understanding how these emerging technologies converge to drive innovation and efficiency in data processing.

Convergence of Cloud with AI for Big Data Analytics

Description

Convergence of Cloud with AI for Big Data Analytics

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. It 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.

Series: Advances in Learning Analytics for Intelligent Cloud-IoT Systems

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Convergence of Cloud with AI for Big Data Analytics

Hardback

$429⁹⁹

Available
Ships in 3-4 weeks

Book Details

INFORMATION

ISBN: 9781119904885

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 28 February 2023

Country: United States

Imprint: Wiley-Scrivener

Contributors:

Edited by Danda B. Rawat
Edited by Lalit K. Awasthi
Edited by Valentina Emilia Balas
Edited by Mohit Kumar
Edited by Jitendra Kumar Samriya

Audience: Professional and scholarly

DIMENSIONS

Weight: 848g

Pages: 448

Collections

Computing & Technology Education & Reference Non-Fiction Series: Advances in Learning Analytics for Intelligent Cloud-IoT Systems

About the Author

Danda B Rawat, PhD, is a Full Professor in the Department of Electrical Engineering & Computer Science (EECS), Founder and Director of the Howard University Data Science and Cybersecurity Center, Director of DoD Center of Excellence in Artificial Intelligence & Machine Learning, Director of Cyber-security and Wireless Networking Innovations Research Lab, Graduate Program Director of Howard CS Graduate Programs, and Director of Graduate Cybersecurity Certificate Program at Howard University, Washington, DC, USA. Dr. Rawat has published more than 250 scientific/technical articles and 11 books.

Lalit K Awasthi, PhD, is the Director of Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India). He received his PhD degree from the Indian Institute of Technology Roorkee in computer science and engineering. He has published more than 150 research papers in various journals and conferences of international repute and guided many PhDs in these areas.

Valentina E Ballas, PhD, is a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. Dr. Ballas is the author of more than 280 research papers in refereed journals and international conferences. She is the Editor-in-Chief of International Journal of Advanced Intelligence Paradigms and International Journal of Computational Systems Engineering.

Mohit Kumar, PhD, is an assistant professor in the Department of Information Technology at Dr. B R Ambedkar National Institute of Technology, Jalandhar, India. He received his PhD degree from the Indian Institute of Technology Roorkee in the field of cloud computing in 2018. His research topics cover the areas of cloud computing, fog computing, edge computing, Internet of Things, soft computing, and blockchain. He has published more than 25 research articles in international journals and conferences.

Jitendra Kumar Samriya, PhD, has a faculty position in the Department of Information Technology, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar. His research interest is cloud computing, artificial intelligence, and multi-objective evolutionary optimization techniques. He has published 15 research articles in international journals and has published five Indian and international patents.

Convergence of Cloud with AI for Big Data Analytics

Convergence of Cloud with AI for Big Data Analytics