LEADER 04480nam 22005773u 450 001 9910566453103321 005 20230221134131.0 010 $a3-030-94590-1 035 $a(CKB)4910000000611451 035 $aEBL6966394 035 $a(OCoLC)1313606242 035 $a(AU-PeEL)EBL6966394 035 $a(MiAaPQ)EBC6966394 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81702 035 $a(PPN)262173115 035 $a(EXLCZ)994910000000611451 100 $a20220617d2022|||| uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig data and artificial intelligence in digital finance $eincreasing personalization and trust in digital finance using big data and AI /$feditors, John Soldatos, Dimosthenis P. Kyriazis 210 $aCham $cSpringer International Publishing AG$d2022 215 $a1 online resource : $b illustrations (some color) 300 $aDescription based upon print version of record. 311 1 $a3-030-94589-8 320 $aIncludes index 327 $aIntroduction -- Part I: Novel Big Data and AI Technologies for Digital Finance -- A Reference Architecture for Big Data Systems and AI Applications in the Finance Sector -- Hybrid Transactional and Analytical Processing for Integrated Data Management in Digital Finance and FinTech Applications -- Semantic Interoperability Modelling for Digital Finance Applications -- Semantic Streaming for Digital Finance Applications -- Part II: Blockchain Technologies and Digital Currencies for Digital Finance Applications -- Central Bank Digital Currencies and a Euro for the Future -- Efficient and Accelerated KYC Using Blockchain Technologies -- Part III: Applications of Big Data and AI in Digital Finance -- AI-based platform for Intelligent and Automated Accounting -- Addressing Intra-Day Volatility in Risk Assessments for Forex Trading -- Next-Generation Personalized Investment Recommendations -- Personalized Finance Management for Small Medium Businesses -- AML/CF supervision empowered by AI -- Analyzing Large Scale Blockchain Transaction Graphs for Fraudulent Activities -- Cybersecurity and Fraud Detection in Financial Transactions -- Part IV: Applications of Big Data and AI in Insurance -- Risk assessment for personalized health insurance products -- Alternative Data for Personalized Insurance products -- Part V: Technologies for Regulatory Compliance in the Finance Sector -- AI Governance -Trustworthy and Responsible use of AI -- Large Scale Data Anonymization for GDPR Compliance -- Conclusion. 330 0 $aThis open access book presents how cutting-edge digital technologies like Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTechs, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also introduces some of the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. 606 $aArtificial intelligence$xFinancial applications 606 $aBig data 606 $aBlockchains (Databases) 610 $aArtificial Intelligence and Big Data 610 $aDigital Finance 610 $aFinTech 610 $aBlockchain 610 $aRegTech 615 0$aArtificial intelligence$xFinancial applications. 615 0$aBig data. 615 0$aBlockchains (Databases). 700 $aSoldatos$b John$4edt$01280648 702 $aSoldatos$b John 702 $aKyriazis$b Dimosthenis P.$f1973- 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910566453103321 996 $aBig data and artificial intelligence in digital finance$93360084 997 $aUNINA