LEADER 05157nam 22006615 450 001 9910735791603321 005 20230719203813.0 010 $a981-9925-71-1 024 7 $a10.1007/978-981-99-2571-1 035 $a(MiAaPQ)EBC30656994 035 $a(Au-PeEL)EBL30656994 035 $a(DE-He213)978-981-99-2571-1 035 $a(PPN)272254258 035 $a(EXLCZ)9927675010500041 100 $a20230719d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence Applications in Banking and Financial Services$b[electronic resource] $eAnti Money Laundering and Compliance /$fby Abhishek Gupta, Dwijendra Nath Dwivedi, Jigar Shah 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (147 pages) 225 1 $aFuture of Business and Finance,$x2662-2475 311 08$aPrint version: Gupta, Abhishek Artificial Intelligence Applications in Banking and Financial Services Singapore : Springer Singapore Pte. Limited,c2023 9789819925704 327 $aChapter 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. 330 $aThis book discusses all aspects of money laundering, starting from traditional approach to financial crimes to artificial intelligence-enabled solutions. It also discusses the regulators approach to curb financial crimes and how syndication among financial institutions can create a robust ecosystem for monitoring and managing financial crimes. It opens with an introduction to financial crimes for a financial institution, the context of financial crimes, and its various participants. Various types of money laundering, terrorist financing, and dealing with watch list entities are also part of the discussion. Through its twelve chapters, the book provides an overview of ways in which financial institutions deal with financial crimes; various IT solutions for monitoring and managing financial crimes; data organization and governance in the financial crimes context; machine learning and artificial intelligence (AI) in financial crimes; customer-level transaction monitoring system; machine learning-driven alert optimization; AML investigation; bias and ethical pitfalls in machine learning; and enterprise-level AI-driven Financial Crime Investigation (FCI) unit. There is also an Appendix which contains a detailed review of various data sciences approaches that are popular among practitioners. The book discusses each topic through real-life experiences. It also leverages the experience of Chief Compliance Officers of some large organizations to showcase real challenges that heads of large organizations face while dealing with this sensitive topic. It thus delivers a hands-on guide for setting up, managing, and transforming into a best-in-class financial crimes management unit. It is thus an invaluable resource for researchers, students, corporates, and industry watchers alike. 410 0$aFuture of Business and Finance,$x2662-2475 606 $aFinancial engineering 606 $aArtificial intelligence 606 $aMathematical optimization 606 $aCrime 606 $aTechnology 606 $aFinancial Technology and Innovation 606 $aArtificial Intelligence 606 $aOptimization 606 $aCrime and Technology 615 0$aFinancial engineering. 615 0$aArtificial intelligence. 615 0$aMathematical optimization. 615 0$aCrime. 615 0$aTechnology. 615 14$aFinancial Technology and Innovation. 615 24$aArtificial Intelligence. 615 24$aOptimization. 615 24$aCrime and Technology. 676 $a332.028563 700 $aGupta$b Abhishek$0957613 701 $aDwivedi$b Dwijendra Nath$01379211 701 $aShah$b Jigar$01379212 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910735791603321 996 $aArtificial Intelligence Applications in Banking and Financial Services$93418685 997 $aUNINA