The pursuit of a more digital mortgage business always involves a balancing act between the drive for automation and the preference or need many consumers may have for some kind of personal touch.

Banks need to mitigate potential bias in algorithmic predictive models using artificial intelligence, as regulators are weighing how to oversee the emerging technology.

The bill, similar to legislation that passed the chamber last year, would permit the inclusion of items such as rent and telecom payments to help consumers build their credit profiles.

Savings related to artificial intelligence could add up to a couple million dollars within 12 months for lenders with sufficient scale, according to an independent researcher hired by Black Knight.

Lenders who employ a technology stack that tracks, collects and analyzes homebuyer behavior will have a distinct advantage as application volume rises.

Amazon's reputation is built on customer fulfillment and technology innovation, but are those enough to guarantee success in the mortgage business?

After years of largely standing on the sidelines, lawmakers are taking a closer look at whether algorithms used by banks and fintechs to make lending decisions could make discrimination worse instead of better.

A Western Union survey claims consumers are unable to tell the difference between humans and interactive voice response or artificial intelligence when needing customer or payment assistance, but their responses may say otherwise.

Appraisals are viewed as a choke point in the mortgage process. As the ranks of appraisers dwindle and technology advances, a new, AI-driven approach may not be far off.

One year into her tenure as SunTrust Banks' mortgage transformation officer, Sherry Graziano has put into motion several initiatives that are redefining the role of loan officers at the Atlanta-headquartered company.

Provenance Blockchain, recently spun off from Mike Cagney's Figure Technologies, says it can help lenders trim 70% of mortgage settlement expenses through speedier processing and paperwork reduction.

The mortgage industry identified two technology initiatives it claims have the greatest potential to improve processes and be the most broadly adopted over the next two years, according to Fannie Mae.

Mortgage lenders have invested heavily in various digital tools that improve the consumer experience, but what they really need to focus on is artificial intelligence that will improve data quality.

Artificial intelligence, automation, electronic closings; the 2019 Top Producers identified the biggest technology initiatives bending the way mortgages get done.

Costs, process, privacy: Here's a look at some key digital mortgage drivers and obstacles identified by experts at this year's MBA Technology Solutions Conference.

The mortgage industry is eager to adopt digital strategies like artificial intelligence to streamline processes, but they are finding it difficult to extend through the full lifecycle of the loan.

Commercial and multifamily lending lags the technology available in the residential market. A look at how one expert thinks the gap could be closed.

PanoramIQ compiles and analyzes both public and proprietary property data, saving mortgage lenders time and costs by filling the gaps in property histories.

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

Technologies like Siri and Alexa will only make mortgage production more efficient if users communicate with them precisely and securely.