Details

The Digital Journey of Banking and Insurance, Volume II


The Digital Journey of Banking and Insurance, Volume II

Digitalization and Machine Learning

von: Volker Liermann, Claus Stegmann

58,84 €

Verlag: Palgrave Macmillan
Format: PDF
Veröffentl.: 27.10.2021
ISBN/EAN: 9783030788292
Sprache: englisch
Anzahl Seiten: 339

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p>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).</p>
<p>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.</p><p></p>
<p><b>Volker Liermann</b>, Partner at ifb group<b>, </b>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.</p>

<p><b>Claus Stegmann</b> 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.</p>
<p>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).</p>

<p><b>Volker Liermann</b>, Partner at ifb group<b>, </b>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 lineof 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.</p>

<p><b>Claus Stegmann</b> 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.</p>
Gathers the most relevant methods used in bank and insurance digitization Includes cases on processes, leveraging computational power, and machine learning models Provides machine learning and deep learning frameworks and examples
Gathers the most relevant methods used in bank and insurance digitization<p>Includes cases on processes, leveraging computational power, and machine learning models</p><p>Provides machine learning and deep learning frameworks and examples​</p>
“<i>Digitalization and Machine Learning</i>, the second volume of <i>The Digital Journey of Banking and Insurance</i>, offers the necessary but often missing link between business and technical view.” (Dr. Carsten Stolz, CFO Baloise Group)<p>“This three-volume book series spans from a business view in the first volume up to a technical view in the last volume. This second volume is the bridge between the business view and the technical view, the frequently required but often missing link. This link makes the book series a comprehensive work.” (Bernhard Hodler, Former CEO Julius Baer Group)</p>

<p>“My experience shows me that one of the most important topics is to build the link between business and technical view or in other words to have real business (use)cases; it is great to see that in <i>Digitalization and Machine Learnin</i>g, the second volume of <i>The Digital Journey of Banking and Insurance</i> as one of the hottest topics in our time.” (Gerhard Lahner, COO of Vienna Insurance Group)</p>

<p>“Virtually all financial institutions have embarked on ambitious digital journeys, both to provide better products and customer experience more efficiently and in response to the threat of industry disruption by FinTech competitors. There is no doubt that there will be winners, and there will be losers. I am convinced that <i>The Digital Journey of Banking and Insurance</i> series is indispensable reading for the future winners.” (Thomas C. Wilson, CEO, President and Country Manager at Allianz Ayudhya)</p>

<p>“We do remember when we started our digital journey, but we do not know when it will be over. Therefore, we are definitely in the middle. The book series <i>The Digital Journey of Banking and Insurance </i>is a must-read for of all of us.” (Christian Peter Kromann, CEO, SimCorp)</p>