American Express has spent years refining a decision-making engine that can tailor products and services to cardholders' needs in real time.

Underpinning the technology with mathematically sound models can make a better case to consumers and regulators for why a loan applicant was denied.

Data that mimics the original set is part of coronavirus vaccine trials, and also has ramifications for mapping financial services metrics, says Aite's Ginger Schmeltzer.

The online lender, which raised $240 million, wants to take its artificial intelligence technology for evaluating borrowers to the next level and expand its partnerships with banks, its CEO says.

“If you get your credit decisions right and you manage fraud well, you can run a very efficient bank. That’s an area where AI is very applicable,” Toronto-Dominion Bank's chief AI officer says.

AI can add an extra layer that's hard for fraudsters to beat, says Nuance Communications' Simon Marchand.

Using AI can manage both privacy and security as part of AML reform, says Giant Oak's Gary Shiffman.

The number and type of channels for customer support are exploding – with Facebook Messenger, Apple Business Chat, and WhatsApp Business among the most recent additions. And channels are evolving, says Genpact's Jason Osborne.

The challenger bank will start by recommending how much users should allocate toward savings and spending, and will later transfer those amounts automatically.