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The Impact of Digital Transformation and FinTech on the Finance Professional

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Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Batch Processing—Pattern Recognition
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    Chapter 3 Hyperledger Fabric as a Blockchain Framework in the Financial Industry
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    Chapter 4 Hyperledger Composer—Syndicated Loans
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    Chapter 5 The Concept of the Next Best Action/Offer in the Age of Customer Experience
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    Chapter 6 Using Prospect Theory to Determine Investor Risk Aversion
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    Chapter 7 Leveraging Predictive Analytics Within a Value Driver-based Planning Framework
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    Chapter 8 Predictive Risk Management
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    Chapter 9 Intraday Liquidity: Forecast Using Pattern Recognition
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    Chapter 10 Internal Credit Risk Models with Machine Learning
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    Chapter 11 Real Estate Risk: Appraisal Capture
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    Chapter 12 Managing Internal and External Network Complexity: How Digitalization and New Technology Influence the Modeling Approach
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    Chapter 13 Big Data and the CRO of the Future
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    Chapter 14 How Technology (or Distributed Ledger Technology and Algorithms Like Deep Learning and Machine Learning) Can Help to Comply with Regulatory Requirements
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    Chapter 15 New Office of the Comptroller of the Currency Fintech Regulation: Ensuring a Successful Special Purpose National Bank Charter Application
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    Chapter 16 Mathematical Background of Machine Learning
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    Chapter 17 Deep Learning: An Introduction
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    Chapter 18 Hadoop: A Standard Framework for Computer Cluster
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    Chapter 19 In-Memory Databases and Their Impact on Our (Future) Organizations
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    Chapter 20 MongoDB: The Journey from a Relational to a Document-Based Database for FIS Balance Sheet Management
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    Chapter 21 Summary and Outlook
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