In this report, we examine the key factors driving generative Al’s adoption in the BFSI industry. We elaborate on how it can help achieve business objectives and gain a competitive advantage in various business operations across BFSI firms. We also examine contemporary implementations and real-world examples of gen Al adoption in the industry.

In this report, we share:

  • An overview on trends, adoption drivers, and challenges related to generative AI in the financial services industry
  • A framework to assess and prioritize gen AI use cases across the financial services value chain
  • Potential risks associated with the adoption of gen AI in the financial services sector, mitigation strategies, and best practices to address these risks and ensure the responsible and ethical deployment of gen AI
  • Trends related to gen AI-related talent acquisition, training, and upskilling, as well as the associated costs and investment considerations
  • An industry landscape covering the technology and service providers specific to gen AI in BFSI

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