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Beschreibung
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).
Digitalization and Machine Learning
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 29. Oktober 2022 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 581 Gramm |
| Format | Softcover |
| ISBN-13 | 9783030788315 |
| Auflage | 1st ed. 2021 |
| Seiten | 339 |
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