Corfire office in London
Mobile technology solutions provider CorFire is opening an office in London to support customer service and business development efforts in the U.K. and throughout Europe (view press release). CorFire, the mobile commerce business of SK C&C USA with over ten years of experience providing mobile commerce solutions in South Korea, hopes to service the growing market in Europe by delivering secure, comprehensive technology to all the players in the mobile ecosystem.
A recent report by Forrester Research indicates that 6.8%of all European web sales will stem from mobile phones and mobile commerce sales will exceed $23billion by 2017.
Dr Jae H Chung, president and CEO of CorFire said: “Mobile payments adoption in North America and Europe is beginning to take off as smartphones become an increasingly integral part of our lives. CorFire’s expansion across borders demonstrates our commitment and dedication to equipping mobile network operators, merchants and banks around the world with the solutions they need to easily and conveniently deliver the mobile lifestyle to their customers.”
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
