Artificial Intelligence Applications in Banking and Financial Services : Anti Money Laundering and Compliance

by Abhishek Gupta, Dwijendra Nath Dwivedi, Jigar Shah

Chapter 1: Introduction to financial crimes and its participants -- Chapter 2: Anti financial crimes organization overview in a financial institution -- Chapter 3: Financial institutions approach to curbing and mitigating financial crimes -- Chapter 4: IT solutions for monitoring and managing financial crimes -- Chapter 5: Typical challenges faced by AML and compliance divisions -- Chapter 6: Applications of artificial intelligence and digitization in financial crimes -- Chapter 7: Data organization and governance in financial crimes -- Chapter 8: Machine learning approach to customer due diligence and watchlist monitoring -- Chapter 9: Applying machine learning for transaction monitoring to optimize false positives -- Chapter 10: application of network analysis to further improve detection of financial crimes -- Chapter 11: AML investigation and application of digitization and machine learning for saving investigation time -- Chapter 12: Futuristic enterprise level AI driven Financial Crime Investigation unit (FCU) for a financial institution.

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Year of publication:	2023
Authors:	Gupta, Abhishek ; Dwivedi, Dwijendra Nath ; Shah, Jigar
Publisher:	2023.: Singapore : Springer Nature Singapore 2023.: Singapore : Imprint: Springer
Subject:	Anti-money laundering \| Anomaly detection \| Optimization \| Predictive modelling \| financial crime \| Artificial intelligence \| Individual and Non-Individual \| money laundering \| Reducing false positives in AML \| AML solutions overview \| AI in AML \| Chief compliance officer handbook \| Alert optimization \| Implementing RPA in AML \| Improving investigation effectiveness \| Data governance for AML \| preparing data for machine learning in AML \| Künstliche Intelligenz \| Geldwäsche \| Money laundering \| Wirtschaftskriminalität \| Economic crime \| Finanzdienstleistung \| Financial services