Financial institutions are moving AI from experimentation into decisions that carry real consequences, and that shift exposes a harder question underneath the technology one. It's not which model to use. It's what has to be true about an institution's data, its governance, and its infrastructure before AI can be trusted to act rather than just advise.
Join leaders to discuss how that trust gets built in an industry defined by regulation, legacy systems, and low tolerance for error. Expect an honest look at what's working, what isn't, and where the industry still has hard problems left to solve.
