Responsible generative AI strategies in financial services

As financial institutions accelerate their adoption of generative AI, they must balance innovation with ethical concerns.

Watch Lisa Galione, Genpact's digital growth leader for banking and capital markets, share insights on ethical AI, competitive AI strategies, and the benefits of AI factory models.

Generative AI holds huge potential for the financial services industry. But it also presents a unique set of challenges. Data privacy, particularly navigating regulations like GDPR, poses a significant hurdle. The need to balance innovation with compliance is crucial, as overcautiousness can stifle progress while recklessness invites penalties. The evolving regulatory landscape adds further complexity as regulators themselves grapple with the implications of this new technology.

As generative AI rapidly evolves, businesses must also rethink their strategies to stay competitive. Watch how Genpact adopted a responsible, multidisciplinary approach to help a financial institution develop a generative AI center of excellence and position it for accelerated growth, expansion, and improved customer service.

The factory model is gaining popularity as it offers a streamlined approach to managing large language model operations (LLMOps). It builds on machine learning operations principles to enable seamless deployment, monitoring, and retraining of LLMs. Watch to find out why it's a well-oiled machine that creates, maintains, and improves AI products efficiently.