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ARTIFICIAL INTELLIGENCE APPLICATIONS IN BANKING AND FINANCIAL SERVICES : anti money laundering... and compliance by Abhishek Gupta, Dwijendra Nath Dwivedi, Jigar Shah is a nonfiction available to read on EtoBox.

What is ARTIFICIAL INTELLIGENCE APPLICATIONS IN BANKING AND FINANCIAL SERVICES : anti money laundering... and compliance about?

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

Who reads ARTIFICIAL INTELLIGENCE APPLICATIONS IN BANKING AND FINANCIAL SERVICES : anti money laundering... and compliance?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Abhishek Gupta, Dwijendra Nath Dwivedi, Jigar Shah
Publisher
Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
Published
2023
Language
EN
ISBN
9789819925728
Category
nonfiction
Subjects
Mathematics, Computer Science, Finance

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