Research In Motion (RIM) has announced that it has just received its mobile payments method approval from the Visa credit card system due to its ability to securely handle the processes and transactions.
This green light is considered to be a significant step forward for the BlackBerry device manufacturer. What it means is that it is considerably closer to being able to offer support to any device that is using the mobile payments technology from RIM. It also means that the EnStream joint venture – the initiative set forward by the largest three wireless networks in Canada – will be that much larger.
EnStream is a joint mobile payments venture among the Canadian wireless networks from Rogers Communications, BCE’s Bell, and Telus. It has already started the deployment of its services within Canada using the SEM technology from RIM. According to a senior director responsible for these services at RIM, Frank Maduri, “The approval from Visa of RIM’s SEM solution is an important step in that it will enable carriers to support Visa issuing banks and financial institutions.”
The mobile payments senior director went on to say that “We now offer carriers a robust solution with around-the-clock global support that works on any NFC-capable device, and meets the stringent technology and usability guidelines for Visa.”
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