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001471941 001__ 1471941
001471941 003__ OCoLC
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001471941 019__ $$a1390875973$$a1391443986
001471941 020__ $$a9789819925711$$qelectronic book
001471941 020__ $$a9819925711$$qelectronic book
001471941 020__ $$z9819925703
001471941 020__ $$z9789819925704
001471941 0247_ $$a10.1007/978-981-99-2571-1$$2doi
001471941 035__ $$aSP(OCoLC)1390920645
001471941 040__ $$aEBLCP$$beng$$erda$$cEBLCP$$dYDX$$dGW5XE$$dYDX$$dOCLCQ
001471941 049__ $$aISEA
001471941 050_4 $$aHG4515.5$$b.G87 2023
001471941 08204 $$a332.028563$$223/eng/20230727
001471941 1001_ $$aGupta, Abhishek K.
001471941 24510 $$aArtificial intelligence applications in banking and financial services :$$banti money laundering and compliance /$$cAbhishek Gupta, Dwijendra Nath Dwivedi, Jigar Shah.
001471941 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001471941 300__ $$a1 online resource (147 p.).
001471941 336__ $$atext$$btxt$$2rdacontent
001471941 337__ $$acomputer$$bc$$2rdamedia
001471941 338__ $$aonline resource$$bcr$$2rdacarrier
001471941 4901_ $$aFuture of Business and Finance
001471941 500__ $$a6.4.2 Approaches for Name Screening
001471941 5050_ $$aIntro -- Acknowledgments -- Contents -- About the Authors -- Acronyms -- 1 Overview of Money Laundering -- 1.1 Introduction -- 1.2 Overview of Various Type of Money Laundering -- 1.3 Mechanism for Laundering Money -- 1.3.1 Financial Crimes Combatting in the USA -- 1.3.2 Financial Crimes Regulatory Evolution in the EU -- 1.4 Financial Institution's Response to Combatting Money Laundering and Terrorist Financing -- 1.5 The Outcome of Increasing Focus on Financial Crimes -- References -- 2 Financial Crimes Management and Control in Financial Institutions -- 2.1 Introduction
001471941 5058_ $$a2.1.1 Governance Structure -- 2.1.2 Active Monitoring of Financial Crime Events -- 2.2 Organization Design for Financial Crimes -- 2.2.1 Customer Risk Assessment -- 2.2.2 Sanctions Monitoring -- 2.2.3 Financial Transaction Monitoring from an AML Perspective -- 2.2.4 Ongoing Customer Risk Assessment -- 2.2.5 Regulatory Reporting -- 2.2.6 Legal Team -- 2.2.7 Cybersecurity Team -- 2.3 Reporting Structure in Financial Organization -- 2.4 Performance Management for the Compliance Team -- 2.4.1 Efficiency of Monitoring Systems in Place -- 2.4.2 Organization Efficiency -- 2.4.3 Operational Parameters
001471941 5058_ $$a2.4.4 Regulatory and Internal Audit Reviews -- 3 Overview of Technology Solutions -- 3.1 Introduction -- 3.2 Modules of the Solution -- 3.2.1 Customer Onboarding Solution-KYC Risk Scoring -- 3.2.2 Financial Transaction Monitoring -- 3.2.3 Case Investigations -- 3.2.4 Reporting -- 3.3 Backend or Technical Functionalities -- 3.4 Organizations' Needs from AML Solutions -- 3.5 Market Overview of AML -- 3.6 Emerging Trends in AML Solutions -- 4 Data Organization for an FCC Unit -- 4.1 Introduction -- 4.1.1 Data Quality -- 4.1.2 Presence of Outliers -- 4.1.3 Data History
001471941 5058_ $$a4.2 Data Dimensions Relevant for Analysis on Financial Crimes -- 4.3 Cross-Border Data-Related Challenges -- 4.4 GDPR-Related Data Challenges -- 4.5 Areas of Improvement for Creating Best-in-Class Data Organization -- 4.6 Knowledge of AI and Its Enablers for Compliance Heads -- 4.7 Improving Data Quality and Integrity in KYC -- 4.8 Desiloing of Data -- 4.9 Having the Right Lead for Data Organization -- 4.10 Evolution of Best-in-Class Data Organization -- 5 Planning for AI in Financial Crimes -- 5.1 Introduction -- 5.2 Forces Shaping the FCC Ecosystem
001471941 5058_ $$a5.3 Pitfalls to Avoid When Designing AI-Enabled FCC Organization -- 5.4 Setting up Roadmap for AI Organization -- 5.5 Building Blocks of a Best-in-Class AI-Enabled Compliance Function -- 6 Applying Machine Learning for Effective Customer Risk Assessment -- 6.1 Introduction -- 6.2 Know Your Customer (KYC) Processing -- 6.2.1 Automated Alerts for Expiry and Renewals -- 6.2.2 Automation of Information Extraction -- 6.2.3 Computer Vision Application on e-KYC -- 6.3 Sanctions and Watchlist Monitoring -- 6.4 Expectations from Compliance -- 6.4.1 Challenges for Name Screening
001471941 506__ $$aAccess limited to authorized users.
001471941 520__ $$aThis 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. The book discusses each topic through real-life experiences. It also leverages the experience of Chief Compliance Officers of some large organizations to showcase real challenges that heads of large organizations face while dealing with this sensitive topic. It thus delivers a hands-on guide for setting up, managing, and transforming into a best-in-class financial crimes management unit. It is thus an invaluable resource for researchers, students, corporates, and industry watchers alike.
001471941 588__ $$aDescription based on online resource; title from digital title page (viewed on August 23, 2023).
001471941 650_0 $$aArtificial intelligence$$xFinancial applications.
001471941 650_0 $$aBanks and banking$$xData processing.
001471941 655_0 $$aElectronic books.
001471941 7001_ $$aDwivedi, Dwijendra Nath.
001471941 7001_ $$aShah, Jigar.
001471941 77608 $$iPrint version:$$aGupta, Abhishek$$tArtificial Intelligence Applications in Banking and Financial Services$$dSingapore : Springer Singapore Pte. Limited,c2023$$z9789819925704
001471941 830_0 $$aFuture of business and finance.
001471941 852__ $$bebk
001471941 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-2571-1$$zOnline Access$$91397441.1
001471941 909CO $$ooai:library.usi.edu:1471941$$pGLOBAL_SET
001471941 980__ $$aBIB
001471941 980__ $$aEBOOK
001471941 982__ $$aEbook
001471941 983__ $$aOnline
001471941 994__ $$a92$$bISE