Artificial Intelligence



In the new study, The AI Gap, PYMNTS interviews executives at 200 FIs and analyzes over 12,800 data points. The research discovers that only 5.5 percent of banks actually use what experts call “true AI” to reduce false-positives and fight AML, as well as optimize credit and other payments and banking products. Get all the details here.


Is AI The New Debt Collector?

 It’s said an ounce of prevention is worth a pound of cure, and the maxim can be applied to debt recovery efforts that average a dismal 20 percent. AI can help.  Brighterion CEO Akli Adjaoute tells Karen Webster that true AI and smart agents form a 360 degree view of the customer that helps firms target which debts to collect at the first signs of consumer troubles. 

In The Age Of Algorithms, Will Banks Ever Graduate To True AI?

It’s the age of algorithms, but not all algorithms are the same — and not all of them constitute true AI. A new PYMNTS report finds that FIs have adopted various forms of machine learning, but that AI’s deployment remains low. What will it take to get more AI involved in fraud prevention and other tasks? What are the long-term costs of settling for lower capability algorithmic technology? Get your algorithm on and have a read.

When AI Technology Gets Up Close And Personal

Brighterion CEO Akli Adjaoute says there’s only one measure of AI’s true potential: When the tech is adaptive enough to understand that John at 23 is the same John at 43, even though he has two kids, a wife and a house in the ‘burbs. That behavioral context, he tells Karen Webster, can help FIs stop fraud and personalize services — in much the same way that the corner shopkeeper could for his customers decades ago.

Why Context Makes Virtual Assistants Smart Digital Bankers

AI and ML-powered services can help fight banking fraud. However, to layer the tech into viable solutions to assist customers with banking, robo-advisors need to truly become “smart,” intuitive — and conversational. In a new podcast, Brighterion CEO Akli Adjaoute tells Karen Webster that “smart agents” tech predicts what consumers need and want — by putting everything in context, word by word.

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