Convergence of Cloud with AI for Big Data Analytics

Foundations and Innovation de

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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, 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.
Pages
448 pages
Collection
Advances in Learning Analytics for Intelligent Cloud-IoT Systems
Parution
2023-01-31
Marque
Wiley-Scrivener
EAN papier
9781119904885
EAN PDF
9781119905226

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
448
Taille du fichier
22866 Ko
Prix
202,98 €
EAN EPUB
9781119905219

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
448
Taille du fichier
6359 Ko
Prix
202,98 €