Generative Ai in Banking Financial Services and Insurance: A Guide to Use Cases, Approaches and Insights

The first part delves into the origins and evolution of Generative AI, providing insights into its mechanics and applications within the BFSI context. It goes into the core technologies behind Generative AI, emphasizing their significance and practical applications. The second part explores how Generative AI intersects with core banking processes, ranging from transactional activities to customer support, credit assessment, and regulatory compliance. It focuses on the digital transformation driving investment banking into the future.

The second part explores how Generative AI intersects with core banking processes, ranging from transactional activities to customer support, credit assessment, and regulatory compliance. It focuses on the digital transformation driving investment banking into the future. It also discusses AI’s role in algorithmic trading, client interactions, and regulatory adaptations. It analyzes AI-driven techniques in portfolio management, customer-centric solutions, and the next-generation approach to financial planning and advisory matters. The third part equips you with a structured roadmap for AI adoption in BFSI, highlighting the steps and the challenges. It outlines clear steps to assist BFSI institutions in incorporating Generative AI into their operations. It also raises awareness about the moral implications associated with AI in the BFSI sector.

By the end of this book you will understand Generative AI’s present and future role in the BFSI sector.

What You Will Learn
Know what Generative AI is and its applications in the BFSI sector
Understand deep learning and its significance in generative models
Analyze the AI-driven techniques in portfolio management and customer-centric solutions
Know the future of investment banking and trading with AI
Know the challenges of integrating AI into the BFSI sector

Who This Book Is For
Professionals in the BFSI and IT sectors, including system administrators and programmers