Artificial Intelligence

AI GAP STUDY

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.

LATEST AI PODCASTS

Brighterion And Elavon Strike AI Anti-Fraud Deal For The Acquiring Space
cybersecurity

The rise of artificial intelligence is not a single force or event — not like the tide rising in the distance. It is countless steps forward (or sideways), little bits of progress and development — pieces fitting together to form a still unseen whole. In this case, artificial intelligence (AI) is moving deeper into the acquiring world. […]

Why Aren’t More FIs Using AI To Fight Fraud?

Payment fraud is an ideal use case for machine learning and artificial intelligence (AI), and has been used by financial institutions (FIs) to great effect. In fact, a typical consumer who gets a fraud alert might not even know there was an algorithm working behind the scenes that spotted suspicious activity. One of the prominent […]

Why AI Is MIA In Most FI Fraud Departments

In the old days, forged checks were the biggest problems that bank fraud departments had to manage. Today, financial institutions (FIs) face a barrage of cyberattacks from hackers operating around the world, continuously shifting their tactics. It is no wonder that fraud prevention is one of the problem areas that FIs hope artificial intelligence (AI) […]

How To Move Past Artificial Intelligence #Fails
Brighterion: How To Move Past AI Failures

The story of artificial intelligence to this point – at least when it comes to financial institutions – is arguably more about failure than success, even as the promise of the technology continues to grow. But success cannot come without stumbles, and as Akli Adjaoute, CEO of Brighterion (a Mastercard company) discusses with Karen Webster, the lessons learned by AI […]

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