Synopses & Reviews
Synopsis
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.
Synopsis
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).