Big data and artificial intelligence in digital finance : increasing personalization and trust in digital finance using big data and AI / John Soldatos, Dimosthenis Kyriazis, editors.
Soldatos, John, editor.; Kyriazis, Dimosthenis P., 1973- editor.
2022
HG4515.5
Available Online

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Title Big data and artificial intelligence in digital finance : increasing personalization and trust in digital finance using big data and AI / John Soldatos, Dimosthenis Kyriazis, editors.
ISBN 9783030945909 (electronic bk.)
3030945901 (electronic bk.)
9783030945893
3030945898
9783030945923
3030945928
DOI https://doi.org/10.1007/978-3-030-94590-9
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations (some color)
Item Number 10.1007/978-3-030-94590-9 doi
Call Number HG4515.5
Dewey Decimal Classification 332.640285
Summary This 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. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance. Introduces the latest advances in Big Data and AI in Digital Finance that enable scalable, effective, and real-time analytics; Explains the merits of Blockchain technology in digital finance, including applications beyond the blockbuster cryptocurrencies; Presents practical applications of cutting edge digital technologies in the digital finance sector; Illustrates the regulatory environment of the financial sector and presents technical solutions that boost compliance to applicable regulations; This book is open access, which means that you have free and unlimited access.
Note Includes index.
Access Note Open access
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 6, 2022).
Added Author Soldatos, John, editor.
Kyriazis, Dimosthenis P., 1973- editor.
Available in Other Form Print version: 9783030945923
Linked Resources Online Access
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Introduction
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.

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