Intelligent Industry 4.0

Author:

Dileep Kumar M.1,Yap Alan Cheng Tat2,Govindarajo Normala S.3,Tamah Alice3,Sharma Vinod4ORCID

Affiliation:

1. Hensard University, Yenagoa, Nigeria

2. Faculty of Business, Economics and Accounting, Help University, Malaysia

3. School of Economics and Management, Xiamen University, Malaysia

4. Symbiosis Centre for Management and Human Resource, Symbiosis International University, India

Abstract

Industry 4.0 has witnessed several changes in the way the industries are operating with technology applications and computational intelligence. Industrial automations and decision makings are augmented with artificial intelligence (AI) and robotic process automation (RPA) is reaping several benefits in the form of improvement of operational, organisational and business processes. The objective of current work is to explore the scenario of RPA and AI in varied fields of industry and management and improve the organisational, business and operational functionality with the support of machine learning (ML), deep learning (DL) and network linguistic programs (NLP with the use of algorithms. Deliberations have been made in the paper stating the uses, differentiation, trends, and applications of RPA and AI, in management and industry. The chapter supports the advancement of the body of knowledge detailing the theoretical implications of computational intelligence.

Publisher

IGI Global

Reference81 articles.

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3. Albajari, M. (2021). Top 4 RPA Implementation Challenges. IT Convergence. https://www.itconvergence.com/blog/top-4-rpa-implementation-challenges/

4. Anandan, T. (2015, April 30). Closing the Skills Gap in Automation: A Call for Action. Association for Advancing Automatation - Industry Insights. https://www.automate.org/industry-insights/closing-the-skills-gap-in-automation-a-call-for-action

5. Assistedge. (2023). Our NorthStar: Automation Singularity. Assistedge. https://www.edgeverve.com/assistedge/

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