1. Introduction 1.1 Background and Context 1.2 Research Objectives 1.3 Structure of the Study 2. Literature Review 2.1 Overview of Portfolio Management 2.2 Evolution of Artificial Intelligence 2.3 AI Applications in Financial Markets 3. Methodology 3.1 Research Design 3.2 Data Collection and Sources 3.3 Analytical Techniques 4. AI Influence on Portfolio Management 4.1 Algorithmic Trading 4.2 Risk Management Enhancement 4.3 Decision-Support Systems 5. Case Studies 5.1 Successful AI Implementations 5.2 Comparative Analysis of Methods 5.3 Lessons Learned 6. Challenges and Limitations 6.1 Technological Barriers 6.2 Ethical Considerations 6.3 Market Volatility Factors 7. Future Prospects 7.1 Emerging AI Technologies 7.2 Potential Market Transformations 7.3 Long-term Implications 8. Conclusion 8.1 Summary of Findings 8.2 Implications for Portfolio Managers 8.3 Recommendations for Further Research
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