San Francisco-based Theorem is marketing its first-ever securitization of online, unsecured consumer loans culled from the LendingClub origination platform using machine-learning technology.

With no way of knowing just how many borrowers will need the mods after the coronavirus forbearance period ends, lenders are deploying artificial intelligence and servicing protocols to tame the ferocious piles of paperwork awaiting them.

Casting aside recession fears, the credit bureau predicts credit cards, mortgages, auto loans and unsecured personal loans should all perform well — including those extended by online lenders.

The custody bank has deployed more than 300 bots and is using artificial intelligence throughout the organization.

Banks and lenders have made inroads in analytics and automation with machine-learning technology. Will asset management follow suit?

It should offer some form of guidance to spur innovation, a former official with the bureau says.

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.

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.

As lawmakers meet this week to discuss artificial intelligence, they should work with regulators to create universal and workable definitions.