AI-Driven Risk Management in Financial Services From Theory to Practice in Smart Education

AI-Driven Risk Management in Financial Services From Theory to Practice in Smart Education

Sapana Garud (Barclays Bank, USA)
DOI: 10.4018/979-8-3693-7723-9.ch005
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Abstract

This chapter explores the transformative role of AI-driven risk management in financial services, emphasizing its application within smart education and sustainable learning environments. As financial institutions increasingly adopt AI technologies to enhance risk assessment, fraud detection, and compliance management, this chapter outlines the theoretical underpinnings of AI-driven risk management and its practical implications in educational contexts. By analyzing case studies and real-world implementations, we highlight how AI tools can provide actionable insights for financial decision-making in educational institutions, promote transparency, and support sustainable practices. Furthermore, the chapter addresses the challenges and limitations of integrating AI into risk management processes, offering recommendations for overcoming these hurdles. Through this exploration, we aim to provide educators and financial professionals with a comprehensive understanding of AI's potential to revolutionize risk management practices in both sectors.
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