This book was written to discuss the milestones in the development of three recent domains in Computer Science engineering - Cloud Computing, Artificial Intelligence and Big Data Analytics - and to analyse the convergence of cloud computing with Artificial Intelligence (AI) for Big Data analytics. D
Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
โ Scribed by Danda B. Rawat (editor), Lalit K. Awasthi (editor), Valentina Emilia Balas (editor), Mohit Kumar (editor), Jitendra Kumar Samriya (editor)
- Publisher
- Wiley-Scrivener
- Tongue
- English
- Leaves
- 436
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
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