US Bank, CoBank, and Rocket Companies presented their generative AI implementations at an AWS financial services conference. The banks described practical applications rather than breakthrough deployments, with data quality challenges cited as a common obstacle.
Real deployments focus on operational efficiency rather than customer-facing innovation. Data infrastructure remains the bottleneck for most financial AI projects, not model capability.
AI program leads should audit current data quality before expanding generative AI pilots. Schedule data governance reviews with your CDO before committing to additional AI vendor contracts.