Shah, Aastha and Khan, Liaquat Ali (2025) DEVELOPMENT OF ARTIFICIAL INTELLIGENCE PLATFORMS THAT SUPPORT DATA-DRIVEN DECISION MAKING FOR BUSINESSES AND IMPROVE ECONOMIC PRODUCTIVITY. International Journal of Economic Integration and Regional Competitiveness, 2 (12). pp. 104-111. ISSN 3032-1301

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Abstract

Objective: This study explores the development and implementation of AI platforms that facilitate intelligent business decision-making and enhance economic productivity. Method: Through a mixed-methods approach combining case study analysis and quantitative performance evaluation, we examine how AI-powered analytics platforms transform raw data into actionable business insights. Results: Our findings indicate that organizations implementing AI decision support systems experience an average 28% improvement in operational efficiency and 19% increase in revenue growth. Novelty: The research provides a framework for successful AI platform adoption and identifies critical success factors for maximizing economic returns.

Item Type:	Article
Subjects:	A General Works > AI Indexes (General)
Depositing User:	admin eprints
Date Deposited:	07 May 2026 09:35
Last Modified:	07 May 2026 09:35
URI:	http://eprints.umsida.ac.id/id/eprint/16462

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