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Abstract

Summary

Risk management has long been important in the financial services industry. With the financial environment becoming increasingly complex and traditional risk assessment methods struggling to keep pace with the rapid pace of anomalies, financial institutions are seeking advanced methods of detecting these anomalies. Machine learning and artificial intelligence give the financial sector an opportunity to gain competitive advantage and protect its operations. Shared financial services and global business partnerships, entrusted with finance through internal and external stakeholders, are actively involved in auditing, managing cost data, and monitoring as they ensure secure invoicing. Their focus extends to fraud detection and rapid risk mitigation. By leveraging the power of machine learning and AI, these organizations can enhance their capabilities, provide effective risk solutions, and remain at the forefront of dynamic financial services Technology improved utilization is a strategic advantage to protect their operations and maintain a strong position in the market.

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/content/papers/10.3997/2214-4609.202377006
2023-10-17
2025-05-16
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References

  1. 1.AlexanderBakumenko, AhmedElragal (August 2022) Detecting Anomalies in Financial Data Using Machine Learning Algorithms. In Systems (10(5))
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