Prepaid has been classified as a niche product, adept at filling gaps in the current payments system. But it has emerged as a core capability for Paytech growth in Canada. The Canadian Prepaid Providers Organization, Northcard Research, Peoples Cards Services and Mastercard will present new research on the economic and social impact of prepaid cards. In this session participants will learn how prepaid can be used as a capability to build the next generation of disruptive Fintech services along with use cases where prepaid is driving change today.
The power of Artificial Intelligence / Machine Learning doesn’t have to be restricted to solutions that require the power of cloud based Graphic Processing Unit (GPU) server farms. Trained Convolutional Neural Network (CNN) model can instead be embedded into an app on a personal device, such as ordinary mobile smartphone. This presentation will introduce the audience to the basics of neural networks, explain why convolutional neural networks are used for object recognition, and will walk you through the required high level steps of training a specific real-time object recognition CNN and embedding it into the demo mobile phone app. The presentation will also include a live demo of the prototype app for digital ‘money counting’, which requires no internet connection and no cloud servers, as all object recognition and classification is done in real-time, 100% locally by the phone CPU and off-line. The perfect example of innovation which is pushing the boundaries of Artificial Intelligence, Machine Learning and Neural Networks to the new level and showing the Art Of Possible.