The critical impact of machine learning and artificial intelligence in financial modeling platforms for SMEs and financial institutions
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.
Institutions
- Amazon (United States) (US)
- Oregon State University (US)
- University of Bradford (GB)
- Eastern Illinois University (US)
- University of North Carolina at Greensboro (US)
- Museum of Fine Arts, Houston (US)
- Nigerian Institute of Medical Research (NG)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-30
- DOI
- https://doi.org/10.5281/zenodo.17034243
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00