Transforming Management with AI, Big-Data, and IoT [E-Book] / edited by Fadi Al-Turjman, Satya Prakash Yadav, Manoj Kumar, Vibhash Yadav, Thompson Stephan.
This book discusses the effect that artificial intelligence (AI) and Internet of Things (IoT) have on industry. The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon perme...
Saved in:
Full text |
|
Personal Name(s): | Al-Turjman, Fadi, editor |
Kumar, Manoj, editor / Stephan, Thompson, editor / Yadav, Satya Prakash, editor / Yadav, Vibhash, editor | |
Edition: |
1st edition 2022. |
Imprint: |
Cham :
Springer,
2022
|
Physical Description: |
VIII, 317 pages 149 illustrations, 107 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030867492 |
DOI: |
10.1007/978-3-030-86749-2 |
Subject (LOC): |
- Introduction
- Part I
- Data analytics for distributed computing and IoT
- Innovations in Software Requirements Engineering for IoT and Big Data
- Innovations in Software Design and Architectures of IoT and Big Data Platforms
- Data storage channels and distributed storage networks
- Big data practices and applications
- Big data retrieval, processing, analysis, and analytics
- IoT and pharmacocybernetics
- IoT for smart manufacturing (industry 4.0) and smart spaces
- IoT big data and predictive analysis
- Managing big data models with interactive Machine learning techniques
- Managing big data models with interactive Deep learning techniques
- Machine learning, data mining, web mining, and graph mining for social network analysis
- Part II
- Mobile networking and computing for cloud and fog/edge computing
- Security and Privacy Approaches to IoT and Big Data Applications and Platforms
- Virtualization of storage, networking, and computing
- SDN-enabled cloud data centers
- Elasticity and scalability of cloud resources
- Cloud management, orchestration, and automation
- Server less computing and FaaS
- Cloud-based storage platforms
- Decentralized storage in cloud and fog/edge computing systems
- Software-defined storage
- Part III
- Decentralized applications (Exchanges, Mining Pools, Trading Platforms)
- Blockchain technology for developing countries
- Scalability, sharding, and scalable services for blockchain systems
- Security and privacy in the cloud and fog/edge infrastructure, services and storage
- Big Data and blockchain technology
- Cloud based authentication and privacy mechanisms Part IV
- Agile Software Engineering Approaches to IoT and Big Data Applications
- Software Engineering Framework for IoT
- Software Engineering Framework for Big Data
- Big Data Algorithms and Applications
- IoT design and architectures
- Security and Privacy Approaches to IoT and Big Data Applications and Platforms
- Conclusion.