Machine learning

Some mortgage 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.

To personalize products and services, banks are now tracking all sorts of alternative data sources, even the manner in which customers type in mobile banking apps.

Executives at Wells Fargo, BBVA Compass, ATB and Banco Popular share some of the pain points they've encountered as they've implemented artificial intelligence, and how they overcame them.

AI-powered assistants will change the customer experience for the better, but first they must achieve a more human level of service, executives said during a discussion at Finovate.

An all-virtual future remains far off, as conversational programs still aren’t capturing the nuance of speech and chatbots have disappointed many customers.

The subprime auto lender Prestige Financial Services used machine learning to make more effective lending decisions than its former model.

The U.K.'s Serious Fraud Office employs software that can read discovery documents about 2,000 times faster than human lawyers and can find previously unknown patterns between people, enabling quicker investigations and penalties.

A recent editing snafu illustrates an important lesson for credit unions using AI and machine learning.

The forum, which is best known for its annual Davos economic conference, offers insights on what many get wrong about artificial intelligence and how banks should be thinking about using it.

Citigroup was so impressed after a two-year test drive of software from the AI vendor Anaconda it decided to invest in the firm.