AI-DRIVEN DECISION SUPPORT SYSTEMS IN FINANCIAL RISK MANAGEMENT: A COMPARATIVE STUDY

Authors

  • Dr. Fahad Mehmood Institute of Business Administration, Karachi, Pakistan. Author

Keywords:

Financial Risk Management, Decision Support Systems, Artificial Intelligence, Predictive Analytics

Abstract

The increasing complexity and volatility of global financial markets necessitate the adoption of advanced technologies to manage risk effectively. Artificial Intelligence (AI)-driven Decision Support Systems (DSS) have emerged as a crucial tool in this regard, offering enhanced data analysis, real-time monitoring, and predictive capabilities. This comparative study explores the deployment of AI-powered DSS in financial risk management across developed and developing economies, focusing on their architecture, effectiveness, implementation challenges, and regulatory constraints. The study highlights the transformative potential of AI in mitigating credit, market, and operational risks, and offers recommendations for financial institutions in Pakistan aiming to adopt such systems.

image

Published

2024-04-04

Issue

Vol. 4 No. 2 (2024): Multidisciplinary Research in Computing Information Systems

Section

Articles

License

All articles published in the Multidisciplinary Research in Computing Information Systems are licensed under an open-access model. Authors retain full copyright and grant the journal the right of first publication. The content can be freely accessed, distributed, and reused for non-commercial purposes, provided proper citation is given to the original work.