DEVELOPMENT OF ARTIFICIAL INTELLIGENCE PLATFORMS THAT SUPPORT DATA-DRIVEN DECISION MAKING FOR BUSINESSES AND IMPROVE ECONOMIC PRODUCTIVITY

Aastha Shah (Master of Business Administration, University of the West of Scotland, UK)
Liaquat Ali Khan (Master of Business Administration, University of the West of Scotland, UK)

International Journal of Economic Integration and Regional Competitiveness
Vol. 2 No. 12 (2025): International Journal of Economic Integration and Regional Competitiveness

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.