Utilizing AI to predict and mitigate financial risks in banking and investment sectors

S Anamol *, A Anjaneyulu and M Raja Aseem

Computer science, Don Bosco Institute of Technology, Mumbai, India.
 
Review
International Journal of Science and Research Archive, 2023, 10(01), 1098–1104.
Article DOI: 10.30574/ijsra.2023.10.1.0701
Publication history: 
Received on 22 July 2023; revised on 26 September 2023; accepted on 29 September 2023
 
Abstract: 
The integration of Artificial Intelligence (AI) in the banking and investment sectors has revolutionized financial risk management. This study explores the application of AI technologies to predict and mitigate financial risks, focusing on credit risk, market risk, and operational risk. By leveraging machine learning algorithms, natural language processing, and advanced data analytics, financial institutions can enhance their risk assessment capabilities, improve fraud detection, and ensure regulatory compliance. The findings demonstrate that AI-driven risk management systems not only increase accuracy and efficiency but also provide real-time insights, enabling proactive decision-making. This research underscores the transformative potential of AI in fostering a more resilient and secure financial ecosystem.
 
Keywords: 
Artificial intelligence; Cyber threats; Financial services; data security; Risk assessment
 
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0