Convergence of Cloud with AI for Big Data Analytics
eBook - PDF

Convergence of Cloud with AI for Big Data Analytics

Foundations and Innovation

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Convergence of Cloud with AI for Big Data Analytics

Foundations and Innovation

About this book

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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Yes, you can access Convergence of Cloud with AI for Big Data Analytics by Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Preface
  6. Chapter 1 Evolution of Internet of Things (IoT): Past, Present and Future for Manufacturing Systems
  7. Chapter 2 Fourth Industrial Revolution: Industry 4.0
  8. Chapter 3 Interaction of Internet of Things and Sensors for Machining
  9. Chapter 4 Application of Internet of Things (IoT) in the Automotive Industry
  10. Chapter 5 IoT for Food and Beverage Manufacturing
  11. Chapter 6 Opportunities: Machine Learning for Industrial IoT Applications
  12. Chapter 7 Role of IoT in Industry Predictive Maintenance
  13. Chapter 8 Role of IoT in Product Development
  14. Chapter 9 Benefits of IoT in Automated Systems
  15. Chapter 10 Integration of IoT in Energy Management
  16. Chapter 11 Role of IoT in the Renewable Energy Sector
  17. Index
  18. EULA