Big Data Analytics Processes in Industrial Internet of Things Systems: Sensing and Computing Technologies, Machine Learning Techniques, and Autonomous Decision-Making Algorithms
Big Data Analytics Processes in Industrial Internet of Things Systems: Sensing and Computing Technologies, Machine Learning Techniques, and Autonomous Decision-Making Algorithms
Author(s): Glenn Eysenck, Erika Kovalova, Veronika Machová, Vladimir KonečnýSubject(s): Business Economy / Management
Published by: Addleton Academic Publishers
Keywords: big data analytics; Industrial Internet of Things; sensing;computing cloud;
Summary/Abstract: Employing recent research results covering big data analytics processes in Industrial Internet of Things systems, and building our argument by drawing on data collected from Forbes, McKinsey, PwC, Statista, and World Economic Forum, we performed analyses and made estimates regarding the Internet of Things units installed base by category (2014–2020, in billions of units), spending on Internet of Things worldwide by vertical in 2015 and 2020 (in billions of U.S. dollars), drivers of technological change, industries overall (%), and stages of diffusion of artificial intelligence technologies (%, adoption type). Structural equation modeling was used to analyze the collected data.
Journal: Journal of Self-Governance and Management Economics
- Issue Year: 7/2019
- Issue No: 4
- Page Range: 28-34
- Page Count: 7
- Language: English
- Content File-PDF