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Big Data and Artificial Intelligence in Digital Finance

Increasing Personalization and Trust in Digital Finance using Big Data and AI

Editors:

(view affiliations)
  • Introduces advances in Big Data and AI in Digital Finance that enable scalable, real-time analytics

  • Explains the merits of Blockchain in digital finance, including applications beyond the blockbuster cryptocurrencies

  • Illustrates the regulatory environment of the financial sector, presenting solutions to boost compliance

  • This book is open access, which means that you have free and unlimited access

Buying options

Softcover Book
USD 49.99
Price excludes VAT (USA)
Hardcover Book
USD 59.99
Price excludes VAT (USA)

Table of contents (20 chapters)

  1. Front Matter

    Pages i-xxiii
  2. Big Data and AI Technologies for Digital Finance

    1. Front Matter

      Pages 1-1
    2. A Reference Architecture Model for Big Data Systems in the Finance Sector

      • John Soldatos, Ernesto Troiano, Pavlos Kranas, Alessandro Mamelli
      Pages 3-28Open Access
    3. Simplifying and Accelerating Data Pipelines in Digital Finance and Insurance Applications

      • Pavlos Kranas, Diego Burgos, Ricardo Jimenez-Peris, Juan Mahíllo
      Pages 29-44Open Access
    4. Architectural Patterns for Data Pipelines in Digital Finance and Insurance Applications

      • Diego Burgos, Pavlos Kranas, Ricardo Jimenez-Peris, Juan Mahíllo
      Pages 45-65Open Access
    5. Semantic Interoperability Framework for Digital Finance Applications

      • Giovanni Di Orio, Guilherme Brito, Pedro Maló
      Pages 67-88Open Access
  3. Blockchain Technologies and Digital Currencies for Digital Finance

    1. Front Matter

      Pages 89-89
    2. Towards Optimal Technological Solutions for Central Bank Digital Currencies

      • Lambis Dionysopoulos, George Giaglis
      Pages 91-104Open Access
    3. Historic Overview and Future Outlook of Blockchain Interoperability

      • Lambis Dionysopoulos
      Pages 105-114Open Access
    4. Efficient and Accelerated KYC Using Blockchain Technologies

      • Nikolaos Kapsoulis, Antonis Litke, John Soldatos
      Pages 115-126Open Access
    5. Leveraging Management of Customers’ Consent Exploiting the Benefits of Blockchain Technology Towards Secure Data Sharing

      • Dimitris Miltiadou, Stamatis Pitsios, Spyros Kasdaglis, Dimitrios Spyropoulos, Georgios Misiakoulis, Fotis Kossiaras et al.
      Pages 127-155Open Access
  4. Applications of Big Data and AI in Digital Finance

    1. Front Matter

      Pages 157-157
    2. Addressing Risk Assessments in Real-Time for Forex Trading

      • Georgios Fatouros, Georgios Makridis, John Soldatos, Petra Ristau, Vittorio Monferrino
      Pages 159-170Open Access
    3. Next-Generation Personalized Investment Recommendations

      • Richard McCreadie, Konstantinos Perakis, Maanasa Srikrishna, Nikolaos Droukas, Stamatis Pitsios, Georgia Prokopaki et al.
      Pages 171-198Open Access
    4. Personalized Portfolio Optimization Using Genetic (AI) Algorithms

      • Roland Meier, René Danzinger
      Pages 199-214Open Access
    5. Personalized Finance Management for SMEs

      • Dimitrios Kotios, Georgios Makridis, Silvio Walser, Dimosthenis Kyriazis, Vittorio Monferrino
      Pages 215-232Open Access
    6. Screening Tool for Anti-money Laundering Supervision

      • Filip Koprivec, Gregor Kržmanc, Maja Škrjanc, Klemen Kenda, Erik Novak
      Pages 233-251Open Access
    7. Analyzing Large-Scale Blockchain Transaction Graphs for Fraudulent Activities

      • Baran Kılıç, Can Özturan, Alper Şen
      Pages 253-267Open Access
    8. Cybersecurity and Fraud Detection in Financial Transactions

      • Massimiliano Aschi, Susanna Bonura, Nicola Masi, Domenico Messina, Davide Profeta
      Pages 269-278Open Access
  5. Applications of Big Data and AI in Insurance

    1. Front Matter

      Pages 279-279

About this book

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.


Keywords

  • open access
  • Artificial Intelligence and Big Data
  • Digital Finance
  • FinTech
  • Blockchain
  • RegTech

Editors and Affiliations

  • INNOV-ACTS LIMITED, Nicosia, Cyprus

    John Soldatos

  • University of Piraeus, Piraeus, Greece

    Dimosthenis Kyriazis

About the editors

John Soldatos holds a PhD in Electrical& Computer Engineering from the National Technical University of Athens (2000) and is currently Honorary Research Fellow at the University of Glasgow, UK (2014-present). He was Associate Professor and Head of the Internet of Things (IoT) Group at the Athens Information Technology (AIT), Greece (2006–2019), and Adjunct Professor at the Carnegie Mellon University, Pittsburgh, PA (2007–2010). He has significant experience in working closely with large multi-national industries (e.g., IBM Hellas, INTRACOM S.A, INTRASOFT International) as R&D consultant and delivery specialist, while being scientific advisor to high-tech start-up enterprises, such as Innov-Acts Limited (Nicosia, Cyprus). Dr. Soldatos is an expert in Internet-of-Things (IoT) and Artificial Intelligence (AI) technologies and applications, including applications in smart cities, finance (Finance 4.0), and industry (Industry 4.0). Dr. Soldatos has played a leading role in the successful delivery of more than seventy (commercial-industrial, research, and business consulting) projects, for both private & public sector organizations, including complex integrated pro-jects. He is co-founder of the open-source platform OpenIoT. He has published more than 200 articles in international journals, books, and conference proceedings. He has also significant academic teaching experience, along with experience in executive education and corporate training. Dr. Soldatos is regular contributor in various international magazines and blogs, on topics related to Artificial Intelligence, IoT, Industry 4.0, and cybersecurity. Moreover, he has received national and international recognition through appointments in standardization working groups, expert groups, and various boards. He has recently coedited and co-authored six edited volumes (books) on Artificial Intelligence, BigData and Internet of Things related themes.

Prof. Dimosthenis Kyriazis is an Associate Professor at University of Piraeus (Department of Digital Systems). He received his diploma from the school of Electrical and Computer Engineering of the National Technical University of Athens (NTUA) in 2001 and his MSc degree in “Techno-economics” in 2004. Since 2007, he holds a PhD in the area of Service Oriented Architectures with a focus on quality aspects and workflow management. His expertise lies with service-based, distributed and heterogeneous systems, software and service engineering. Before joining University of Piraeus, he was a Senior Research Engineer at the Institute of Communication and Computer Systems (ICCS) of NTUA, having participated and coordinated several EU and National funded projects (e.g. INFINITECH, STAR, BigDataStack, MATILDA, 5GTANGO, ATMOSPHERE, Crowd HEALTH, MORPHEMIC, LeanBigData, CoherentPaaS, VISION Cloud, IRMOS, etc.) focusing his research on issues related to quality of service provisioning, fault tolerance, data management and analytics, performance modelling, deployment and management of virtualized infrastructures and platforms.

Bibliographic Information

  • Book Title: Big Data and Artificial Intelligence in Digital Finance

  • Book Subtitle: Increasing Personalization and Trust in Digital Finance using Big Data and AI

  • Editors: John Soldatos, Dimosthenis Kyriazis

  • DOI: https://doi.org/10.1007/978-3-030-94590-9

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022

  • License: CC BY

  • Hardcover ISBN: 978-3-030-94589-3

  • Softcover ISBN: 978-3-030-94592-3

  • eBook ISBN: 978-3-030-94590-9

  • Edition Number: 1

  • Number of Pages: XXIII, 363

  • Number of Illustrations: 16 b/w illustrations, 20 illustrations in colour

  • Topics: Communications Engineering, Networks, Artificial Intelligence, Big Data, IT in Business

Buying options

Softcover Book
USD 49.99
Price excludes VAT (USA)
Hardcover Book
USD 59.99
Price excludes VAT (USA)