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DIAS Technology Review

The Institute has a unique distinction of publishing a bi-annual International journal DIAS Technology Review – The International Journal for Business and IT. The Editorial Board comprises of...

ISSN: 2231-2498 Quarterly English Since 2011
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Current Issue

Vol. 18 No. 2 (2021)

Articles 36th Edition of DTR Oct 2021 – Mar 2022

Scenario Analysis of Human - Machine Learning in Industry

Authors
MR
Mr. Mirza Rizwan
Chief Innovation officer, Invent India Innovation Put. Ltd., India
5 Views
3 Downloads
Published 2022-03-30
Pages 08-11
Abstract

Background: Industry 4.0 characterized by ‘smart factories’ gave rise to the absolute customized product which has become possible through the creation of new operating models where virtual and physical systems of manufacturing cooperate mutually. The breakthrough technologies such as quantum technology, nanotechnology, machine learning, and others are generated through connected machines and systems. The technological fusion and their integration across physical, digital, and biological domains demand basic to advance levels of human-machine cooperation and collaboration or human-machine learning.


The research aims: In this paper, the author applies a scenario analysis process to understand how Industry 4.0 may impact the concepts of learning and propose best learning practices for the future.


Methodology: The paper is based on the literature review of experts’ work on Industry 4.0 and Human-skilling. Through such literature review, critical factor elements characterizing Industry 4.0 and Human-skilling have been identified. Six steps scenario-analysis process has been adopted to suggest what would be the future of human skilling. It has also been attempted to explore the possibility of theory concerning the role of learning in Industry 4.0.


Key Findings: It has been concluded that Leadership with high emotional intelligence and digital mindsets generating innovative ideas will be the future of human skilling in Industry 4.0 and beyond.

Keywords
Industry 4.0 human-learning machine-learning newer technologies knowledge management organisational learning
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How to Cite
Mr. Mirza Rizwan . (2022). Scenario Analysis of Human - Machine Learning in Industry. DIAS Technology Review, 18(2), 08-11.
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