The Impact Of Digital Transformation And Fintech On The Finance Professional
Volker Liermann
Resumo
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The Impact Of Digital Transformation And Fintech On The Finance Professional
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 Schärf4. Hyperledger composer: syndicated loans- Gereon Dahmen, Volker Liermann5. The concept of the best action...
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 Schärf4. Hyperledger composer: syndicated loans- Gereon Dahmen, Volker Liermann5. The concept of the best action...
The Impact Of Digital Transformation And Fintech On The...
Resumo
The Impact Of Digital Transformation And Fintech On The Finance Professional
1. Introduction- Volker Liermann, Claus Stegmann
14. How technology (or algorithms like deep learning and machine learning) can help to comply with regulatory requirements- Moritz Plenk, Losif Levant, Noah Bellon
Nº de Páginas:
Encadernação: Capa Dura / Hardback
Tema: Economics
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
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
Nº de Páginas:
Encadernação: Capa Dura / Hardback
Tema: Economics
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Características
- Editora
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Palgrave Macmillan
- Idiomas
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Inglês
- Data de lançamento
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14/11/2019
- Peso
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771,0
- Série/Edição Limitada
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1st ed. 2019
- EAN
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9783030237189
Publicidade
Publicidade