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Think AI Is Just Used For Fraud? Mercator Says Think Again

By PaymentsJournal
January 25, 2019
in Artificial Intelligence, Emerging Payments, Fraud & Security, Fraud Risk and Analytics, Truth In Data
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Don’t miss another episode of Truth In Data! Click on the red bell in the lower left corner of your screen to receive notifications as soon as the episode publishes.

Data for this episode of Truth In Data provided by Mercator Advisory Group’s report – 70+ Processes Banks Have Already Improved Using AI

About this report

Large banks are adopting artificial intelligence much faster than their smaller counterparts, according to Mercator Advisory Group’s survey of global and regional banks supplemented by a review of the trade press literature. This should worry smaller institutions and the processors that serve them.

A new research report from Mercator Advisory Group titled 70+ Processes Banks Have Already Improved Using AI identifies processes that have been upgraded through the use of artificial intelligence technology. These processes were selected by bank survey respondents from a total of 104 different potential solutions that exist in 13 different business areas, including payments, regulatory, call center, trade desk, IT, and legal. All but one of these 13 business areas had multiple processes that had been upgraded with AI according to the survey responses.

“The breadth with which AI has already been deployed across multiple departments with these banks was a surprise,” comments the author of the report, Tim Sloane, VP, Payments Innovation, and Director, Emerging Technologies Advisory Service at Mercator Advisory Group. “However, more surprising was the depth to which AI has penetrated these departments. As an example, regulatory compliance departments reported 13 different business processes where AI is used. The legal department reported 9 different processes. Clearly the large banks are all in on AI and it suggests smaller institutions and their solution providers need to quickly step up their game.”

 

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Tags: AIConsumer BehaviorFraud Risk and Analytics

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