Home /Research /Intelligent Industry 4.0
LEARNING

Intelligent Industry 4.0

Alan Cheng Tat Yap, Normala S. Govindarajo, Alice Tamah, Vinod Sharma

Year
2024
Citations
4

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.

Keywords

AutomationComputer scienceProcess (computing)Business intelligenceKnowledge managementArtificial intelligenceBusiness processWork (physics)Process managementEngineering management

Related papers

Browse all LEARNING papers