Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Artificial Intelligence Applications in Banking and Financial Services: Anti Money Laundering and Compliance

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

Gupta, Abhishek
Dwivedi, Dwijendra Nath
Shah, Jigar

Hardcover

Series: Future of Business and Finance

Investing & FinanceGeneral ComputersGeneral Mathematics

ISBN10: 9819925703
ISBN13: 9789819925704
Publisher: Springer
Published: Jul 21 2023
Pages: 140
Weight: 0.88
Height: 0.44 Width: 6.14 Depth: 9.21
Language: English

This book discusses all aspects of money laundering, starting from traditional approach to financial crimes to artificial intelligence-enabled solutions. It also discusses the regulators approach to curb financial crimes and how syndication among financial institutions can create a robust ecosystem for monitoring and managing financial crimes. It opens with an introduction to financial crimes for a financial institution, the context of financial crimes, and its various participants. Various types of money laundering, terrorist financing, and dealing with watch list entities are also part of the discussion. Through its twelve chapters, the book provides an overview of ways in which financial institutions deal with financial crimes; various IT solutions for monitoring and managing financial crimes; data organization and governance in the financial crimes context; machine learning and artificial intelligence (AI) in financial crimes; customer-level transaction monitoring system; machine learning-driven alert optimization; AML investigation; bias and ethical pitfalls in machine learning; and enterprise-level AI-driven Financial Crime Investigation (FCI) unit. There is also an Appendix which contains a detailed review of various data sciences approaches that are popular among practitioners.

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