Transforming management with AI, big data, and IoT / Fadi Al-Turjman, Satya Prakash Yadav, Manoj Kumar, Vibhash Yadav, Thompson Stephan, editors.
Al-Turjman, Fadi, editor.; Yadav, Satya Prakash, editor.; Kumar, Manoj, editor.; Yadav, Vibhash, editor.; Stephan, Thompson, editor.
2022
TA347.A78 T73 2022
Available Online

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Title Transforming management with AI, big data, and IoT / Fadi Al-Turjman, Satya Prakash Yadav, Manoj Kumar, Vibhash Yadav, Thompson Stephan, editors.
ISBN 9783030867492 (electronic bk.)
3030867498 (electronic bk.)
9783030867485
303086748X
DOI https://doi.org/10.1007/978-3-030-86749-2
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations (some color)
Other Standard Identifiers 10.1007/978-3-030-86749-2 doi
Call Number TA347.A78 T73 2022
Dewey Decimal Classification 006.3
Summary 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 permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications. The book is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments. Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management; Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels; Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed March 1, 2022).
Added Author Al-Turjman, Fadi, editor.
Yadav, Satya Prakash, editor.
Kumar, Manoj, editor.
Yadav, Vibhash, editor.
Stephan, Thompson, editor.
Available in Other Form Print version: 9783030867485
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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.

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