國立高雄大學圖資館 |

Language: English

Back

Transforming management with AI, big-data, and IoT

Record Type:	Electronic resources : Monograph/item
Title/Author:	Transforming management with AI, big-data, and IoTedited by Fadi Al-Turjman ... [et al.].
other author:	Al-Turjman, Fadi.
Published:	Cham :Springer International Publishing :2022.
Description:	viii, 317 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceIndustrial applications.
Online resource:	https://doi.org/10.1007/978-3-030-86749-2
ISBN:	9783030867492$q(electronic bk.)

Transforming management with AI, big-data, and IoT
Transforming management with AI, big-data, and IoT[electronic resource] /edited by Fadi Al-Turjman ... [et al.]. - Cham :Springer International Publishing :2022. - viii, 317 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9783030867492$q(electronic bk.)

Standard No.: 10.1007/978-3-030-86749-2doiSubjects--Topical Terms:

524554
Artificial intelligence
--Industrial applications.

LC Class. No.: TA347.A78 / T73 2022

Dewey Class. No.: 006.3

Transforming management with AI, big-data, and IoT
LDR:04570nmm a2200349 a 4500 001 622320
003 DE-He213
005 20220217182144.0
006 m d
007 cr nn 008maaau
008 221209s2022 sz s 0 eng d
020 $a 9783030867492$q(electronic bk.)
020 $a 9783030867485$q(paper)
024 7 $a 10.1007/978-3-030-86749-2 $2 doi
035 $a 978-3-030-86749-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TA347.A78 $b T73 2022
072 7 $a TJF $2 bicssc
072 7 $a GPFC $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a TJF $2 thema
072 7 $a GPFC $2 thema
082 0 4 $a 006.3 $2 23
090 $a TA347.A78 $b T772 2022
245 0 0 $a Transforming management with AI, big-data, and IoT $h [electronic resource] / $c edited by Fadi Al-Turjman ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a viii, 317 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Artificial intelligence $x Industrial applications. $3 524554
650 0 $a Big data $x Industrial applications. $3 831509
650 0 $a Internet of things $x Industrial applications. $3 868260
650 0 $a Business $x Technological innovations. $3 674704
650 1 4 $a Cyber-Physical Systems. $3 919034
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Industrial and Production Engineering. $3 273753
650 2 4 $a Communications Engineering, Networks. $3 273745
700 1 $a Al-Turjman, Fadi. $3 830682
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-86749-2
950 $a Computer Science (SpringerNature-11645)