1 Center for Financial Studies, Chartered Institute of Bankers of Nigeria, Lagos, Nigeria.
2 AI and Fintech, Innovesta, Houston, Texas, USA.
3 Automation Department, Amazon, Greensboro, North Carolina, USA.
4 Cybersecurity, Eastern Illinois University, Charleston, Illinois, USA.
5 Computer Science, Oregon State University, Corvallis, Oregon, USA.
6 Economics and Finance for Development, The University of Bradford, West Yorkshire, United Kingdom.
International Journal of Science and Research Archive, 2025, 14(03), 1036-1044
Article DOI: 10.30574/ijsra.2025.14.3.0751
Received on 08 February 2025; revised on 15 March 2025; accepted on 18 March 2025
The rapid evolution of Machine Learning (ML) and Artificial Intelligence (AI) is transforming the landscape of financial modeling platforms. These technologies have significantly enhanced decision-making, risk assessment, and predictive modeling, offering unprecedented efficiency and accuracy. For Small and Medium-sized Enterprises (SMEs) and large financial institutions, AI-driven financial modeling provides deeper insights into credit risk evaluation, portfolio management, fraud detection, and investment strategies. This paper examines the critical impact of AI and ML on financial modeling platforms, exploring their role, benefits, challenges, and future prospects within the financial industry.
Machine learning (ML); Artificial intelligence (AI); Financial modeling platforms; SMEs; Financial institutions
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Peter Chimee Oyirinnaya, Emmanuel Tachie-Menson, Tawakalitu Omobolanle Abereijo, Joseph Darko Kessie, Chimdi Okechukwu Chikezie and Oluwatosin Omotola Ajayi. The critical impact of machine learning and artificial intelligence in financial modeling platforms for SMEs and financial institutions. International Journal of Science and Research Archive, 2025, 14(03), 1036-1044. Article DOI: https://doi.org/10.30574/ijsra.2025.14.3.0751.
