• Tushar Kumar
• Tushar Banthia
• Harshit Nolakha
• Mehul Lunkkadd
• Sujal Bhandari

In the contemporary landscape of asset management, technological advancements are reshaping portfolio management strategies. This research paper explores the transformative role of technology, particularly artificial intelligence (AI), in revolutionizing investment decision-making processes, risk management practices, and overall operational efficiency within asset management firms. Through an analysis of key findings, it is evident that asset managers increasingly rely on data analytics and AI to analyze large datasets, identify investment opportunities, and optimize trading processes. The rise of algorithmic trading and quantitative strategies underscores the growing integration of technology-driven approaches in portfolio management. Furthermore, the emergence of robo-advisors democratizes access to portfolio management services, offering automated investment advice tailored to individual preferences. While blockchain technology and cryptocurrencies present opportunities for innovation, cybersecurity remains paramount to safeguard sensitive financial data and maintain client trust. This research highlights the imperative for asset managers to navigate the evolving technological landscape strategically, ensuring sustainable growth and client satisfaction amidst rapid technological advancements.

Artificial intelligence, Portfolio management, Asset management firms, Technological advancements, Data analytics, Algorithmic trading, Quantitative strategies, Cyber security.

"Evaluating how advancements in technology are reshaping portfolio management strategies within asset management firms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.k80-k98, March-2024, Available :http://www.jetir.org/papers/JETIR2403A10.pdf

"Evaluating how advancements in technology are reshaping portfolio management strategies within asset management firms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppk80-k98, March-2024, Available at : http://www.jetir.org/papers/JETIR2403A10.pdf