
Battery-powered MasterCard-branded cards
Payment card provider, Dynamics, has been certified as a payment card production vendor for the MasterCard payment network (view press release). The announcement means that consumers will be provided with new battery-powered MasterCard-branded cards offering spending, security and personalisation options. Dynamics has a portfolio of battery-operated payment applications that integrate full computer architectures, which may include card button and display features. As a result, MasterCard cardholders could push a button that would allow them to pay with loyalty points instead of their credit account. Buttons could also be used to require someone to enter a personal unlocking code to authorise a payment, adding security to the card.
“MasterCard Certification of Dynamics’ proprietary personalization process is a significant milestone for Dynamics. The Certification enables us to introduce innovative payment technologies to consumers that can provide added payment services and enhanced security,” said Jeff Mullen, Dynamics CEO.
Whitepapers
Related reading
Central banks best suited to issue digital currencies
By Aaran Fronda A recent report by the Official Monetary and Financial Institutions Forum (OMFIF) said that central banks rather than private ... read more
Instant payments: innovations inbound for corporates
In 2020, instant payments look set to continue their current trajectory to become the biggest trend in payments. While these schemes already offer numerous benefits to corporates, leveraging innovations such as APIs and request to pay will go some way to unlocking their full potential, argues Michael Knetsch
Obstacles exist for banks to meet ECB’s instant payments goal
The cost of joining instant payment platforms will be one of many hurdles banks and payment services providers must overcome to meet ... read more
Banks must be aware of “biases” in data used to train ML models
Financial institutions need to be conscious of biases in the historical data that is being used to train machine learning (ML) models, ... read more