No open-access location is known for this record yet.
No open-access location is known for this record yet.
This chapter provides a comprehensive analysis of the evolving role of Artificial Intelligence (AI) and Machine Learning (ML) in the Indian financial sector, examining both current applications and future directions. Through a detailed literature review, qualitative research, and empirical insights, the study explores how AI and ML are transforming asset management, algorithmic trading, credit underwriting, risk management, and regulatory compliance. Emphasizing India’s unique financial landscape, the chapter investigates how digital transformation and data-driven innovations have enabled more informed, efficient, and personalized financial services. Key applications such as robo-advisory, sentiment analysis, fraud detection, and financial chatbots are discussed, alongside 150 challenges like data privacy, algorithmic bias, and regulatory fragmentation. The study also addresses the impact of COVID-19 on accelerating AI adoption and highlights strategies for optimizing AI/ML deployment in finance. Ultimately, the chapter underscores AI and ML’s potential to reshape financial services by enhancing operational efficiency, financial inclusion, and decision-making while calling for responsible innovation and skill development in the Indian financial ecosystem.
Loading…
Imported from OpenAlex (CC0) — nothing here is generated.