Waters Wrap: The path to generative AI is paved with solid data practices

In the highly regulated capital markets, there’s a dichotomy between things you “want to do” and things you “need to do”. Banks and asset managers want to deploy high-powered, machine-learning-driven analytics tools, but they need to solve ever-greater regulatory reporting needs. But does it have to be this way? Is there a way to bridge the gap?

(I hope you’ll follow along with me as this is a bit of a think piece. And I’d love feedback to see how I can improve this theory.)

First, let’s look