Business Intelligence for Enterprise Internet of Things [electronic resource] /
edited by Anandakumar Haldorai, Arulmurugan Ramu, Syed Abdul Rehman Khan.
- 1st ed. 2020.
- X, 289 p. 84 illus., 58 illus. in color. online resource.
- EAI/Springer Innovations in Communication and Computing, 2522-8609 .
- EAI/Springer Innovations in Communication and Computing, .
Introduction.-Development of innovative enterprise architecture for internet of things -- Enterprise IoT modeling: supervised, unsupervised and reinforcement learning -- Internet of things evolutionary computation, Enterprise modeling and simulation -- Development of new IoT technologies for business intelligence and large-scale enterprise analysis -- Uncertainty modeling in big data analytics for IoT -- Providing solutions to pressing problems across areas including connected and autonomous vehicles, automation, healthcare, and enterprise security using Internet of things -- The management of enterprise in mobile transparent computing for internet of things -- Bridge developments in Artificial Intelligence to real enterprise applications in collaboration with IoT partners -- New generation of scientists to address the skills shortage in these areas and increase competitiveness -- Applications and services for enterprise systems such as Complex systems, multi-agent systems, game theory and statistics -- Advanced future perspective in enterprise for internet of things -- Conclusion.
This book discusses Internet of Things (IoT) as it relates to enterprise applications, systems, and infrastructures. The authors discuss IoT and how it’s disrupting industries such as enterprise manufacturing, enterprise transportation, enterprise smart market, enterprise utilities, and enterprise healthcare. They cover how IoT in the enterprise will have a major impact on the lives of consumers and professionals around the world and how it will change the way we think about professional and consumer networks. The book's topics include IoT enterprise system architecture, IoT enabling enterprise technologies, and IoT enterprise services and applications. Examples include enterprise on demand, market impacts, and implications on smart technologies, big data enterprise management, and future enterprise Internet design for various IoT use cases, such as share markets, healthcare, smart cities, smart environments, smart communications and smart homes. Illustrates how enterprise network infrastructure teams contribute to IoT strategies at their organizations; Presents the most recent challenges and developments in business management in Internet of Things systems; Includes planning and engineering challenges and describes the methodology and implementation of a powerful tool for enterprise management.