Industrial big data analytics for cognitive internet of things: Wireless sensor networks, smart computing algorithms, and machine learning techniques

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Abstract

We draw on a substantial body of theoretical and empirical research on industrial big data analytics for Cognitive Internet of Things, and to explore this, we inspected, used, and replicated survey data from BCG, CIO, EY, Gartner, PwC, and Statista, performing analyses and making estimates regarding how Industry 4.0 is delivering revenue, cost and efficiency gains (%) and top technologies being considered in-line with organizations’ strategic plan (%). Structural equation modeling was used to analyze the data and test the proposed conceptual model.

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Graessley, S., Suler, P., Kliestik, T., & Kicova, E. (2019). Industrial big data analytics for cognitive internet of things: Wireless sensor networks, smart computing algorithms, and machine learning techniques. Analysis and Metaphysics, 18, 23–29. https://doi.org/10.22381/AM1820193

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