Abstract
<jats:p>Machine learning (ML), a subset of artificial intelligence (AI), has emerged as a transformative tool in modern risk management, enabling organizations to predict, identify, and mitigate risks more effectively than ever. This article explores the innovative applications of ML across diverse domains, including financial services, healthcare, insurance, cybersecurity, and public safety. ML has revolutionized risk assessment methodologies through predictive analytics, anomaly detection, and decision optimization, providing dynamic solutions for complex challenges such as fraud detection, credit risk analysis, and disease prediction.</jats:p>
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Keywords
risk
detection
machine
learning
subset
PORE