Abstract:
The integration of Artificial Intelligence (AI)
and Machine Learning (ML) in portfolio management is
revolutionizing the financial landscape. This paper
explores how these technologies enhance decision-making,
risk assessment, and asset allocation in dynamic financial
markets. Emphasizing predictive analytics, algorithmic
trading, and sentiment analysis, it outlines the
transformation from traditional to intelligent investment
strategies. Case studies and empirical evidence illustrate
the efficiency, adaptability, and challenges of AI/ML in
portfolio management, positioning them as pivotal tools
for the future of finance.