![Convergence of Cloud with AI for Big Data Analytics](https://img.perlego.com/book-covers/3836200/9781119905226_300_450.webp)
Convergence of Cloud with AI for Big Data Analytics
Foundations and Innovation
Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya
- English
- PDF
- Über iOS und Android verfügbar
Convergence of Cloud with AI for Big Data Analytics
Foundations and Innovation
Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya
Über dieses Buch
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.
Häufig gestellte Fragen
Information
Inhaltsverzeichnis
- Cover
- Title Page
- Copyright Page
- Contents
- Preface
- Chapter 1 Evolution of Internet of Things (IoT): Past, Present and Future for Manufacturing Systems
- Chapter 2 Fourth Industrial Revolution: Industry 4.0
- Chapter 3 Interaction of Internet of Things and Sensors for Machining
- Chapter 4 Application of Internet of Things (IoT) in the Automotive Industry
- Chapter 5 IoT for Food and Beverage Manufacturing
- Chapter 6 Opportunities: Machine Learning for Industrial IoT Applications
- Chapter 7 Role of IoT in Industry Predictive Maintenance
- Chapter 8 Role of IoT in Product Development
- Chapter 9 Benefits of IoT in Automated Systems
- Chapter 10 Integration of IoT in Energy Management
- Chapter 11 Role of IoT in the Renewable Energy Sector
- Index
- EULA