Digitalization and Machine Learning

Liermann, Volker (EDT); Stegmann, Claus (EDT)

ISBN 10: 3030788288 / ISBN 13: 9783030788285

Edité par Palgrave Macmillan, 2021

Unread book in perfect condition. N° de réf. du vendeur 43990319

Synopsis :

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​

À propos de l?auteur:

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.

Détails bibliographiques

Titre : Digitalization and Machine Learning
Éditeur : Palgrave Macmillan
Date d'édition : 2021
Reliure : Couverture rigide
Etat : As New