Banco Popular de Puerto Rico

The homeownership gap between Black and white populations has widened in the years since the Great Recession, putting obstacles in the way of achieving wealth for a large percentage of Americans. How did we get here, and what do the housing and home lending industries need to do to change the current course?

Of all the relevant mortgage AI use cases, underwriting might be the most impactful because it represents speed for customers and lenders and safety and uniformity for housing finance overall.

The women who put up top production numbers in a mostly-purchase market have proven processes for finding productive realtor partners and keeping pre-approved borrowers engaged during long home shopping journeys.

AI is highly hyped but operationalizing it safely in mortgage must go beyond the hype.

Growth isn't just about product mix, it's about aligning your salesforce with changing home buyer and owner demographics as well as housing diversity objectives from regulators.

AI deep fakes in pop culture go viral, but how do we ensure this fraud doesn't infect mortgage underwriting?

Thanks to many trailblazers, more women lead every key role across mortgage originations and servicing, from finance and capital markets to sales and servicing to underwriting and processing.