AI-Powered Business Intelligence in Manufacturing: A Technical Overview

Authors

  • Indraneel Madabhushini University of Southern Queensland, Australia Author

DOI:

https://doi.org/10.32628/CSEIT25112411

Keywords:

Artificial Intelligence in Manufacturing, Predictive Maintenance Systems, Smart Manufacturing Analytics, Enterprise System Integration, Edge Computing Implementation

Abstract

This comprehensive article explores the transformative impact of Artificial Intelligence (AI) and Business Intelligence (BI) integration in manufacturing environments within the Industry 4.0 framework. The article examines the implementation methodologies, architectural considerations, and performance metrics across various manufacturing domains, including predictive maintenance, quality control, and supply chain optimization. The article demonstrates significant improvements in operational efficiency, cost reduction, and product quality through AI-powered systems. Through detailed analysis of edge computing integration, advanced AI capabilities, and enterprise system architecture, the article provides insights into both current implementations and future technological considerations, offering a roadmap for manufacturing organizations pursuing digital transformation.

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References

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Published

09-03-2025

Issue

Section

Research Articles