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.

An artificial intelligence platform that integrates with key industry utilities and keeps critical data at lending professionals' fingertips was selected as the top fintech demo by attendees of the 2018 Digital Mortgage Conference.

AI and blockchain technology are going to change the financial services business. How much? Steve Brown, aka "The Bald Futurist" suspects you're underestimating.

An AI-powered virtual assistant could be used in a variety of ways, including helping customers to prequalify for mortgages, easing compliance and detecting problems.

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.

Startup LoanSnap, a company funded in part by Virgin Group founder Richard Branson, has launched artificial intelligence that matches consumers with mortgages based on a complex analysis of their financial situation.

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.

Automating the mortgage process will force tighter margins, but drive higher volume, for lenders.

Mortgage settlement software provider Qualia is getting a new $33 million round of funding that it will use to expand into additional U.S. markets.

As digital mortgage technology helps consumers take a more hands-on approach to the mortgage process, lenders are stepping up their adoption of automation and machine learning through artificial intelligence capabilities.

Some banks are looking at how to translate the complicated and document-heavy mortgage lending process into the digital world of voice-interactive personal assistants.

It’s highly debatable whether the artificial intelligence engines that online lenders typically use, and that banks are just starting to deploy, are capable of making credit decisions without inadvertent prejudices.

U.S. Bank has begun using Einstein, Salesforce’s AI software, to give front-line staff insights into customer activity and recommendations. Other banks are likely to add similar tools.