ABSTRACT. Employing recent research results covering big data-driven innovation, deep learning-assisted smart process planning, and product decision-making information systems in sustainable Industry 4.0, and building my argument by drawing on data collected from Capgemini, Deloitte, Management Events, McKinsey, MHI, Microsoft, and PwC, I performed analyses and made estimates regarding artificial intelligence-based decision-making algorithms in big data-driven innovation in sustainable Industry 4.0. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64

Keywords: big data; sustainability; Industry 4.0; smart process planning

How to cite: Grant, E. (2021). “Big Data-driven Innovation, Deep Learning-assisted Smart Process Planning, and Product Decision-Making Information Systems in Sustainable Industry 4.0,” Economics, Management, and Financial Markets 16(1): 9–19. doi:10.22381/emfm16120211.

Received 15 January 2021 • Received in revised form 14 March 2021
Accepted 16 March 2021 • Available online 20 March 2021

Edwin Grant
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Cognitive Technology-driven Automation
at CLI, Ottawa, Canada

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