Big Data and Artificial Intelligence in Digital Finance Increasing Personalization and Trust in Digital Finance using Big Data and AI
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 c...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2022, 2022
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| Edition: | 1st ed. 2022 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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
- AnalyzingLarge 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