The Digital Journey of Banking and Insurance, Volume II
Springer International Publishing (Verlag)
978-3-030-78828-5 (ISBN)
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).
lt;p>Volker Liermann, a Partner at ifb group, brings twenty years of experience in financial risk management. His focus has additionally been on integrated stress testing and liquidity risk management as it impacts asset liability management and profitability. In recent years, he added digital transformation and machine learning to his subjects of expertise. Volker is leading the global business development at ifb. He has an economics background and has a degree in mathematics from the University of Bonn, Germany.
Claus Stegmann, a Partner at ifb group and Member of the Executive Board, acquired extensive know-how during the last two decades in topics like SAP Bank Analyzer, risk management for banks, accounting, regulatory and compliance (Basel III, CRR/CRD IV, Solvency II), and in the management of complex projects in the financial industry. He also co-authored books on stress tests in banks and Basel III. He has an academic background as Diplom-Kaufmann (business school graduate) from the University of Passau, Germany.
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.
| Erscheinungsdatum | 29.10.2021 |
|---|---|
| Zusatzinfo | XLI, 339 p. 172 illus., 167 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 695 g |
| Themenwelt | Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung |
| Schlagworte | Digitalization Strategy • FinTech • Insurtech • Machine Learning and Deep Learning Frameworks • Open Source • Optimization of Regression Tests • Regtech |
| ISBN-10 | 3-030-78828-8 / 3030788288 |
| ISBN-13 | 978-3-030-78828-5 / 9783030788285 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
