AI Technology in Wealth Management : Leveraging Technology to Transform Financial Strategies

• Autore: Mirghaemi Mahnoosh
• Pubblicazione: Cham : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (74 pages)
• Altri autori: WendtKaren
• Nota di contenuto: Intro -- Authors' Preamble -- Streamlining Routine Tasks -- Personalizing Recommendations -- Revolutionizing Healthcare -- Enhancing Communication -- Introduction -- Intention of this Research -- The Evolving Landscape of Wealth Management -- The Integration of AI in Wealth Management -- Enhancing Efficiency and Accuracy -- Comparing Traditional and AI-Driven Wealth Management -- Future Potential and Ethical Considerations -- Call to Action -- Contents -- Chapter 1: Wealth Management and the Three Percent Conondrum -- Wealth Management -- The Terrain of Wealth Management -- The 3 Percent Conundrum -- Why Only 3 Percent? -- Evolving Landscape of Wealth Management -- Regulatory Efforts and Financial Education -- Future of Wealth Management -- Definition -- Scope and Purpose -- Historical Context -- Modern Practices -- The Client Perspective -- Chapter 2: Wealth Management: A Short Story of Its History and Journey to Modern Times -- Historical Context -- Modern Practices -- Key Components of Wealth Management -- Client Engagement and Relationship Management -- The Role of Technology -- Limitations of Robo-Advisors -- Chapter 3: The Place of Wealth Management in the Modern Financial Landscape -- Economic Impact -- Client Perspective -- Role in the Broader Financial Ecosystem -- Chapter 4: How Does a Traditional Wealth Management Process and Its Practices Work? -- Manual Processes -- Limitations of Traditional Practices -- The Human Touch -- Chapter 5: Embracing the Future: Emergence of AI in Wealth Management -- Technological Advancements -- Market Trends -- Implications for the Industry -- Chapter 6: How AI Is Transforming Wealth Management -- Data Analytics and Predictive Modeling -- Automated Investment Platforms -- Personalization and Customization -- Enhancing Efficiency and Accuracy. ; Chapter 7: Data Analytics and Predictive Modeling Transform Asset and Wealth Management -- Role of Big Data in Wealth Management -- Predictive Analytics -- Methodologies in Data Analytics -- Impact of Analytics Methodologies on Investment Strategies -- Descriptive Analytics: Data Summarization -- Diagnostic Analytics: Identifying Causes and Anomaly Detection -- Predictive Analytics: Forecasting Models and Scenario Analysis -- Prescriptive Analytics: Actionable Recommendations and Optimization -- Overall Impact: Enhanced Decision-Making and Personalization -- Enhanced Decision-Making -- Portfolio Management -- Risk Management -- Challenges and Considerations -- Chapter 8: Automated Investment Platforms and Their Benefits -- Key Benefits of Automated Data Platforms in Asset Management -- Efficiency and Time Savings -- Enhanced Data Accuracy and Consistency -- Scalability and Performance -- Real-Time Data Analytics and Reporting -- Seamless Integration -- Data Governance and Regulatory Compliance -- Cost Savings and Operational Efficiency -- Summary -- Main Applications of Automated Platforms -- Robo-Advisors -- Algorithmic Trading -- Hybrid Models -- Impact on the Wealth Management Industry -- Chapter 9: The Triple Win Factor: Enhancing Efficiency and Accuracy -- Process Optimization and Automated Functionalities -- Client Benefits -- Portfolio Manager Benefits -- Regulatory Benefits -- Streamlining Operations -- Cost Reduction -- Improving Accuracy -- Enhancing Financial Planning -- Enhanced Risk Management -- Case Studies and Examples -- Chapter 10: Key Differences Between Traditional and AI Wealth Management and Why Customers Should Care -- Human Interaction vs. Automation -- Personalized Service vs. Personalization Through AI -- Decision-Making Processes -- Client Engagement and Communication -- Cost Structures -- Adaptability and Flexibility. ; Challenges and Considerations -- Chapter 11: Conclusion: Harnessing the Power of AI in Wealth Management -- Summary of Key Insights -- Future Potential of AI in Wealth Management -- Call to Action -- Glossary of Key Terms and Concepts -- References.
• Titolo autorizzato: AI Technology in Wealth Management
• ISBN: 3-031-72223-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910903800103321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Finance Series