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).

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.