Rick Lang of Freddie Mac, Tim Mayopoulos of Blend and Tamra Rieger of Evergreen Home Loans discuss the key objectives – from customer experience to system integrations – that mortgage companies are pursuing through digitalization.

Aaron King of Snapdocs, Brent Chandler of FormFree, Tim Mayopoulos of Blend, and Chris Backe of Ellie Mae talk about system fragmentation, data access issues, personnel management and other hurdles that still stand between the industry and comprehensive digitalization.

Loan origination system provider Ellie Mae has agreed to purchase mortgage technology firm Capsilon, citing the growing appeal of artificial intelligence-driven automation and interest in becoming more active as an acquirer.

PointPredictive has rolled out IncomePASS, which uses machine learning technology to determine if the borrower's income as stated on the application is realistic.

Freddie Mac's test of artificial intelligence to make lending decisions could be a significant turning point in broadening the use of the technology.

Freddie Mac's efforts to improve underwriting could include the use of a technology firm's artificial intelligence-driven consumer-risk modeling software that can expand access to credit, according to the Wall Street Journal.

From its greatest potential to adoption challenges, here’s a look at what attendees at the Digital Mortgage Conference 2019 had to say about artificial intelligence.

A mortgage company's dispute with Connecticut over what tasks a licensed loan officer needs to handle points to a potential compliance concern for direct and digital lenders seeking to maximize efficiencies.

With the mortgage industry inching closer to full digitization, lenders need to strike the right balance of man-versus-machine as borrowers still look to leverage human interaction during the origination process.

The most successful mortgage originators will use artificial intelligence and machine learning to enhance and enable their people to have better, more meaningful engagements with customers.

Self-service technology gives borrowers the control, speed and convenience they desire, while providing lenders with higher origination volume.

Credit decisions were a natural place to start with artificial intelligence, but now banks and credit unions are taking the technology to all parts of their businesses.

Blooma has developed a software product that combs databases to create property profiles for commercial real estate lenders. It can drastically cut origination costs and approval times and help banks identify safer loans, the company says.

Capacity, formerly Jane.ai, originally designed its chatbot to answer consumers' questions, but when employees started using it, that gave the startup an idea for a new business line.

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?