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.

With the increased shift toward digital payments, which has only been accelerated by the COVID-19 pandemic, manual data analysis and threat detection methods have failed to stop the fraudsters, says The ai Corporation's Oliver Tearle.

Smarsh, which enables banks and other clients to archive employee communications, is buying the AI firm Digital Reasoning as employers increasingly seek surveillance options for personnel working from home.

In today’s changing work environment, a one-size-fits-all policy does not make sense. An AI-based system means organizations rely less on an auditor’s luck in catching expenses abuses, and more on a systematic, evidence-based, and consistently fair approach, says AppZen's Andrew Foster.

Mastercard has rolled out a set of AI-powered tools to thwart fraud and data breaches across banks' ecosystems, particularly to benefit acquirers’ online merchants.