Machine learning

Software startups say bringing borrowers, builders and lenders onto one digital platform can remove some of the risks lenders faced during the crisis.

A digital mortgage startup called Brace is using machine learning to automate loss mitigation and has lined up backing from several venture capital sources, including a fund with high-profile investors like Amazon founder Jeff Bezos.

As the mortgage industry braces for even more market uncertainty in 2019, emerging technologies that improve the borrower experience and streamline back-office tasks may provide a glimmer of hope to beleaguered lenders.

Executives urged the consumer bureau at a public meeting to keep a closer eye on artificial intelligence innovations developed by fintech firms that are subject to less regulation.

Ellie Mae plans to more quickly adapt to an evolving digital mortgage landscape with Amazon's help rebuilding from the inside-out.

Some lenders are tapping artificial intelligence and machine learning to improve operational efficiency and enhance the borrower experience, but complexities do exist in implementing the technology.

Blend, a provider of mortgage point of sale systems, is offering a new product that uses machine learning to streamline loan closings and analyze loan data quality.

With its acquisition of artificial intelligence and machine learning developer HeavyWater, Black Knight is turning to its Artificial Intelligence Virtual Assistant to streamline the mortgage process, with an immediate focus on the originations sector.

Black Knight has acquired HeavyWater, a developer of artificial intelligence and machine learning technology for the mortgage industry, and plans to incorporate the startup's borrower data verification and other automation capabilities into its existing product suite.