New mobile wallet
PaymentEye were at the Excel Arena in London for PayExpo 2013 last month. There were a host of exhibitors displaying their latest innovative platforms and solutions. A number of seminars and discussions on hot topics such as big data and mobile payments ensured an insightful experience for all attendees.
In today’s exclusive video, PaymentEye caught up with Siemen’s Head of Sales for Mobile Payments, Robert Albrecht to discuss the company’s latest product offerings. Moreover, Robert gives his take on the digitisation of the wallet and the current mobile payments space. Siemen’s WalletXpress solution which aggregates all aspects of traditional payments onto the mobile phone whilst adding features such as direct carrier billing.
“Mobile payments is certainly the hot topic in the market. The market is huge and Siemens wants to be a part of it. I think true mobile payments will be most successful in the micro online payments industry for cases where you already have your phone in hand. This relates to paying for a travel ticket or in-app purchases. The true differentiator will be connecting it with value-added services such as bonification” Robert said.
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
