50,45 €
Versandkostenfrei per Post / DHL
Lieferzeit 4-7 Werktage
Hyper-personalized investment strategies
Combined quantitative analysis with sentiment analysis to create prescriptive and predictive scenarios
Expandable and transparent AI algorithms in wealth management
Customer experience and client engagement
Tailored financial content
Providing a clear and concise description of how AI driven wealth management differs from traditional investing, asset management, and wealth management offering new opportunities for investing, this book is ideal for students, scholars, researchers and professionals interested in accessible wealth management applications for investing in the 21st century.
Hyper-personalized investment strategies
Combined quantitative analysis with sentiment analysis to create prescriptive and predictive scenarios
Expandable and transparent AI algorithms in wealth management
Customer experience and client engagement
Tailored financial content
Providing a clear and concise description of how AI driven wealth management differs from traditional investing, asset management, and wealth management offering new opportunities for investing, this book is ideal for students, scholars, researchers and professionals interested in accessible wealth management applications for investing in the 21st century.
Karen Wendt is the President of Sustainable Finance (Cham, Switzerland) and CEO of ECCOS Impact GmbH (Cham, Switzerland). She is also a serial entrepreneur, scientist and co-editor of the Sustainable Finance book series at Springer. She advises companies on sustainability and is proven expert in impact investing, international management, sustainable finance, and strategy development. She is currently conducting research on social entrepreneurship, stock exchanges and portfolio engineering.
.- Introduction to Wealth Management.
.- Defining Wealth Management.
.- Importance in Modern Financial Landscape.
.- Traditional Wealth Management Practices.
.- Emergence of AI in Wealth Management.
.- How AI is Transforming Wealth Management.
.- Data Analytics and Predictive Modeling.
.- Automated Investment Platforms.
.- Personalization and Customization.
.- Enhancing Efficiency and Accuracy.
.- Key Differences between Traditional and AI Wealth Management.
.- Conclusion: Harnessing the Power of AI in Wealth Management.
.- Glossary: Key Terms and Concepts in Wealth Management and AI.
.- References: Suggested Readings and Resources.
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Betriebswirtschaft |
| Genre: | Recht, Sozialwissenschaften, Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Reihe: | SpringerBriefs in Finance |
| Inhalt: |
xv
65 S. 2 s/w Illustr. 2 farbige Illustr. 65 p. 4 illus. 2 illus. in color. |
| ISBN-13: | 9783031722226 |
| ISBN-10: | 3031722221 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Mirghaemi, Mahnoosh
Wendt, Karen |
| Hersteller: |
Springer
Springer International Publishing AG SpringerBriefs in Finance |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 235 x 155 x 6 mm |
| Von/Mit: | Mahnoosh Mirghaemi (u. a.) |
| Erscheinungsdatum: | 06.11.2024 |
| Gewicht: | 0,143 kg |