Includes bibliographical references and index

Part I. Big data and AI technologies for digital finance

A reference architecture model for big data systems in the finance sector

Simplifying and accelerating data pipelines in digital finance and insurance applications

Architectural patterns for data pipelines in digital finance and insurance applications

Semantic interoperability framework for digital finance applications

Part II. Blockchain technologies and digital currencies for digital finance

Towards optimal technological solutions for central bank digital currencies

Historic overview and future outlook of blockchain interoperability

Efficient and accelerated KYC using blockchain technologies

Leveraging management of customers' consent exploiting the benefits of blockchain technology towards secure data sharing

Part III. Applications of big data and AI in digital finance

Addressing risk assessment in real-time for forex trading

Next-generation personalized investment recommendations

Personalized portfolio optimization using genetic (AI) algorithms

Personalized finance management for SMEs

Screening tool for anti-money laundering supervision

Analyzing large-scale blockchain transaction graphs for fraudulent activities

Cybersecurity and fraud detection in financial transactions

Part IV. Applications of big data and AI insurance

Risk assessment for personalized health insurance products

Usage-based automotive insurance

Alternative data for configurable and personalized commercial insurance products

Part V. Technologies for regulatory compliance in the finance sector

Large scale data anonymisation fir GDPR compliance

Overview of applicable regulations in digital finance and supporting technologies