The banking crisis in 2008 has created a generation of consumers that will always carry some mistrust of traditional banking, making them more agreeable to alternative payment models.
Emerging channels and payment types have created a new ecosystem of risk, and legacy systems cannot keep up. By now it’s clear that machine learning is the answer for fighting fraud at scale. While organizations are excited about the enormous potential of machine learning in the fight against fraud, they also have questions about where they should begin, and what they should look for. Read this free 11-page report and get actionable insights to help you create a strategy for taking charge of the AI disruption that’s well underway.
The U.S. Supreme Court accepted a case that could roil the credit-card business, agreeing to consider reviving government allegations that American Express Co. thwarts competition by prohibiting merchants from steering customers to cards with lower fees.
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You can’t just turn the computers off and shut your door, nor can you rely on outdated, traditional training methods to prepare your team for a landscape of threats and continuously evolve, writes Laura Lee, executive vice president of cyber training and assessments at the Circadence Corporation.
Chinese tourists visiting the U.S. may begin paying cab fares via Alipay this month in Las Vegas and next month in New York through an expanded acceptance deal with Verifone.
Bank services provider FIS has connected its Trax corporate payments platform to Citigroup via a series of application programming interfaces (APIs), enabling treasury payments to flow in real time and improving cash management for corporate customers.
The ROI with the incremental costs and considerations will determine whether to proceed or not whether it is cashless, cash, or other alternative payment methods, writes Laura Townsend, senior vice president of the Merchant Advisory Group.
Barclays Plc will need to defend its advantages in the payments business from encroachment by technology companies including Amazon.com Inc. and Apple Inc., according to Chief Executive Officer Jes Staley.
You can’t just turn the computers off and shut your door, nor can you rely on outdated, traditional training methods to prepare your team for a landscape of threats and continuously evolve, writes Laura Lee, executive vice president of cyber training and assessments at the Circadence Corporation.
The ROI with the incremental costs and considerations will determine whether to proceed or not whether it is cashless, cash, or other alternative payment methods, writes Laura Townsend, senior vice president of the Merchant Advisory Group.
Cash is resilient, especially during times of crisis or uncertainty. But there are significant efforts to make cash less relevant in areas where it has typically been a mainstay.
It has now been two years since the EMV fraud liability shift took effect in the U.S. for most companies. This is enough time to evaluate the EMV migration's effect on fraud, and whether it can be blamed for anything happening in digital channels.
The digital era is changing a lot of habits, including dining. Mobile devices and other technologies now play a vital role in bringing patrons into coffee shops, fast food restaurants and sit-down establishments.
Emerging channels and payment types have created a new ecosystem of risk, and legacy systems cannot keep up. By now it’s clear that machine learning is the answer for fighting fraud at scale. While organizations are excited about the enormous potential of machine learning in the fight against fraud, they also have questions about where they should begin, and what they should look for. Read this free 11-page report and get actionable insights to help you create a strategy for taking charge of the AI disruption that’s well underway.
