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.
Volker Liermann, Partner at ifb group, worked in the banking industry for over two decades, primarily focusing on financial risk management. Throughout his career, he has focused on developing integrated and comprehensive frameworks to help organizations correctly project risk at a strategic and tactical line of business and departmental level. He has also focused on developing frameworks to integrate stress testing and regulatory stress tests. In recent years, his focus has shifted to digitalization, machine learning and digital processes including improvements to classical financial and non-financial risk management. He has a background in economics and a degree in mathematics from the University of Bonn.
Claus Stegmann has as Co-CEO of ifb group an international consulting firm acquired extensive know-how over the last three decades in the financial industry regarding finance transformation, risk management and regulatory compliance. He is intensively engaged with the current challenges of the financial industry, which result from strong changes to customer behavior, a changing competitive environment and new technologies due to digitalization. He has also co-authored books on Stress Tests in Banks, Basel III as well as Digitalization in the Finance Industry, and graduated from Business School at the University of Passau, Germany.
