Leveraging AI and Business Intelligence for Economic Transformation in SAARC Nations

View at publisher
Authors: Pawan Kumar, Timilehin Olasoji Olubiyi, Varinderjeet Singh
Cited by: 0
References: 38

Abstract

Purpose: To examine the transformative potential of artificial intelligence (AI) and business intelligence (BI) in driving inclusive growth, institutional reform, and digital transformation across SAARC nations. Research Methodology: A qualitative, comparative case study approach analysing recent AI and BI initiatives, policies, and sectoral applications in all eight SAARC countries. Findings and Results: The region exhibits uneven progress – India leads in AI innovation, while others show emerging or pilot-level adoption. Key barriers include infrastructural deficits, regulatory gaps, limited human capital, and financial constraints. Strategic opportunities lie in AI-first policies, BI democratisation, and regional innovation hubs. Originality/Value: Offers a rare, region-wide analysis aligning AI and BI strategies with sustainable development goals (SDGs), advocating ethical governance and regional cooperation. Conclusion: AI and BI, if equitably and strategically implemented, can become pivotal drivers of sustainable, resilient, and integrated development across South Asia.

Fields of Study & Subjects

Digital Economy and Transformation Impact of AI and Big Data on Business and Society Artificial Intelligence Applications

Publication details

Journal / source
Emerald Group Publishing Limited eBooks
Pages
159–179
Publication date
9 February 2026
Language
EN
Document type
Book chapter