This book, the second one of three volumes, gives practical examples by a number of use cases showing how to take first steps in the digital journey of banks and insurance companies. The angle shifts over the volumes from a business-driven approach in "Disruption and DNA" to a strong technical focus in "Data Storage, Processing and Analysis", leaving "Digitalization and Machine Learning Applications" with the business and technical aspects in-between. This second volume mainly emphasizes use cases as well as the methods and technologies applied to drive digital transformation (such as processes, leveraging computational power and machine learning models).

<p>Part I. Use Cases

Chapter 1. Use Case - Optimization of Regression Tests - Reduction of the Test Portfolio Through Representative Identification
Chapter 2. Use Case - Nostro Accounts Match
Chapter 3. Use Case - Fraud Detection Using Machine Learning Techniques
Chapter 4. Use case - NFR - HR Risk
Chapter 5. Sentiment Analysis for Reputational Risk Management
Chapter 6. Use Case - NFR - Using GraphDB for Impact Graphs
Part I. High-Performance Applications
Chapter 7. Distributed Calculation Credit Portfolio Models
Chapter 8. BSDS - Balance Sheet Dynamics Simulator
Chapter 9. Dynamic Dashboards
Chapter 10. High-Performance Applications
Part III. Quantum Computing
Chapter 11. Post-Quantum Secure Cryptographic Algorithms
Chapter 12. Quantum Technologies
Chapter 13. Categorical Quantum Theory
Part IV. Process & Process Optimization
Chapter 14. Processes in a Digital Environment
Chapter 15. Process Mining
Chapter 16. Hyperautomation (Automated Decision-Making as Part of RPA)
Chapter 17. RPA Use Case - "IFRS 9/SPPI"
Part V. Open Source
Chapter 18. Open-Source Software
Part VI. Summary.</p><p></p>