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1. Introduction- Volker Liermann, Claus Stegmann.- Part 1: Automation, distributed ledger and client related aspects.- 2. Batch Processing: Pattern Recognition- Volker Liermann, Claus Stegmann.- 3. Hyperledger fabric as a blockchain framework in the financial industry- Martina Bettio, Fabian Bruse, Achim Franke, Thorsten Jakoby, Daniel Schärf.- 4. Hyperledger composer: syndicated loans- Gereon Dahmen, Volker Liermann.- 5. The concept of the best action/offer in the age of customer experience- Uwe May.- 6. Using prospect theory to determine investor risk aversion- Constantin Lisson.- 7. Leveraging predictive analytics within a value driver based planning framework- Simon Valjanow, Phillip Enzinger, Florian Dinges.- 8. Predictive Risk Management- Volker Liermann, Nikolas Viets.- 9. Intraday liquidity: forecast using pattern recognition- Volker Liermann, Sangmeng Li, Victoria Dobryashkina.- Part 2: Bank Management Aspects.- 10. Internal credit risk models with machine learning- Markus Thiele, Harro Dittmar.- 11. Real estate risk: Appraisal capture- Volker Liermann, Norbert Schaudinnus.- 12. Managing internal and external network complexity: how digitalization and new technology influence the modeling approach- Stefan Grossmann, Philipp Enzinger.- 13. Big data and the CRO of the future- Richard L. Harmon.- Part 3: Regulatory Aspects- Introduction.- 14. How technology (or algorithms like deep learning and machine learning) can help to comply with regulatory requirements- Moritz Plenk, Losif Levant, Noah Bellon.- 15. New Office of the Comptroller of the Currency Fintech Regulation: Ensuring a Successful Special Purpose National Bank Charter Application- Alexa Philo.- Part 4: Methods, Technology & Architecture- Introduction.- 16. Mathematical background of machine learning- Volker Liermann, Sangmeng Li, Victoria Dobryashkina.- 17. Deep learning: an introduction- Sangmeng Li, Volker Liermann, Norbert Schaudinnus.- 18. Hadoop: A standard framework for computer cluster- Eljar Akhgarnush, Lars Broeckers, Thorsten Jakoby.- 19. In-memory databases and their impact on our (future) organizations- Eva Kopic, Bezu Teschome, Thomas Schneider, Ralph Steurer, Sascha Florin.- 20. MongoDB: The journey from a relational to a document-based database for FIS balance sheet management- Boris Bialek.- 21. Summary and Outlook- Volker Liermann, Claus Stegmann.
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.
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