
Providing Visa and MasterCard branded cards
Fiserv, a provider of financial services technology solutions, is launching instant credit and debit card issuances services to its central issuance business (view press release). The service has been designed to give financial institutions clients the ability for branch staff to provide consumers in a branch location with a Visa or MasterCard branded debit or credit upon when they open an account, or as a replacement for a lost or stolen card.
Instant issue cards from Fiserv can be delivered using one of two options. The first is a temporary secure vault card, designed to provide the benefits of instant issuance without an investment in hardware and software. A non-personalized Visa or MasterCard debit card is issued in-branch, providing customers with immediate access to an account until the permanent card is received in the mail – cards can be ordered in bulk or with a PIN and stored in a secure vault. The second option is permanent instant issue cards, which are available for financial institutions interested in issuing permanent, personalised cards in the branch, with Fiserv providing them with the equipment and software needed.
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