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AI in Asset Management: Combining Machine Learning with Human Insight - A Technical Review

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This technical review explores AI's role in asset management, highlighting how machine learning enhances portfolio management and risk management.

The integration of AI in asset management improves investment decision-making and portfolio construction.
Contemporary systems utilize advanced algorithms like deep learning and reinforcement learning for market data analysis.
Successful implementation requires combining technology and human insights for optimized investment strategies.
Regulatory challenges arise as AI technologies transform competitive dynamics within the financial industry.

Varun Raj Duvalla (2025) studied this question.

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This technical review explores AI's role in asset management, highlighting how machine learning enhances portfolio management and risk management.