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Intro -- Preface -- Acknowledgments -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- Abbreviations -- Part I Big Data and AI Technologies for Digital Finance -- 1 A Reference Architecture Model for Big Data Systems in the Finance Sector -- 1 Introduction -- 1.1 Background -- 1.2 Big Data Challenges in Digital Finance -- 1.2.1 Siloed Data and Data Fragmentation -- 1.2.2 Real-Time Computing -- 1.2.3 Mobility -- 1.2.4 Omni-channel Banking: Multiple Channel Management -- 1.2.5 Orchestration and Automation: Toward MLOps and AIOps -- 1.2.6 Transparency and Trustworthiness -- 1.3 Merits of a Reference Architecture (RA) -- 1.4 Chapter Structure -- 2 Related Work: Architectures for Systems in Banking and Digital Finance -- 2.1 IT Vendors' Reference Architectures -- 2.2 Reference Architecture for Standardization Organizations and Industrial Associations -- 2.3 Reference Architectures of EU Projects and Research Initiatives -- 2.4 Architectures for Data Pipelining -- 2.5 Discussion -- 3 The INFINITECH Reference Architecture (INFINITECH-RA) -- 3.1 Driving Principles: INFINITECH-RA Overview -- 3.2 The INFINITECH-RA -- 3.2.1 Logical View of the INFINITECH-RA -- 3.2.2 Development Considerations -- 3.2.3 Deployment Considerations -- 4 Sample Pipelines Based on the INFINITECH-RA -- 4.1 Simple Machine Learning Pipeline -- 4.2 Blockchain Data-Sharing and Analytics -- 4.3 Using the INFINITECH-RA for Pipeline Development and Specification -- 5 Conclusions -- References -- 2 Simplifying and Accelerating Data Pipelines in Digital Finance and Insurance Applications -- 1 Introduction -- 2 Challenges in Data Pipelines in Digital Finance and Insurance -- 2.1 IT Cost Savings -- 2.2 Productivity Improvements -- 2.3 Reduced Regulatory and Operational Risks -- 2.4 Delivery of New Capabilities and Services.
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Publishing Year: 2022
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