In today’s on-demand world, we expect to be able to spend, move and receive money instantly. For this reason, real-time payments (RTP), also known as ‘faster payments’ or ‘instant payments’, are gaining momentum globally. However, currently, many financial institutions have an infrastructure and a good customer base, but they are typically burdened by legacy systems. Many payments solutions are outdated, and interfaces are not intuitive. What is the best way forward, what is the value proposition and what are the steps required to enable RTP? To be able to achieve RTP, and at the same time support traditional ways of managing payments, domestic and international, it typically requires you to be innovative and transparent, including building ecosystems that are trusted by your customers and business partners. You need a reliable, scalable and secure payments infrastructure, supporting both today’s and tomorrow’s business needs. In this presentation we will share best practices on how to get there through real life examples both from an IT and business perspective, from countries which have implemented RTP, and what should be improved to be able to digitally enable and optimize payment applications.
A discussion of how Uber, Airbnb, Amazon, Apple, Tesla and others have set the bar on digital innovation and how banking can learn from these unique firms.
Boston Consulting Group reports that while 86% of global corporate banking executives agree digital will impact business economics and competition, only 43% have a digital strategy. Meanwhile, corporate treasurers have rising expectations of bank services and continue to challenge the status quo. How can banks partner with their corporate clients and technology providers to spark innovation? Hear both corporate and bank perspectives on identifying and overcoming challenges in payments, corporate banking services, and partnerships.
We are in the midst of a transportation revolution. Billions of dollars are being poured into connected cars, autonomous vehicles and smart cities. With the rapid investment, experts predict more and more connected cars on the road in the coming years, more ride-sharing and fractional ownership and autonomous vehicles on the road in the next decade. As a result, companies need to plan for this change and recognize that the source and flow of payments is being disrupted, as well. We’re moving toward a friction-free, plastic-free future. Card not present is taking on a whole new meaning. In this session, we’ll examine the current landscape, consumer trends and examine what companies need to do to innovate for the future.
The Bank of England Staff Paper 670 (2017) characterizes DLT as both a radical innovation (i.e. one that has high impact), as well as a systemic one (i.e. one that affects the entire value chain and not just one or a few components). But at this stage, it’s not clear how DLT might ultimately affect the post trade sector – whether the impact will be radical and/or systemic. This panel bring together representatives from the public and private sector to discuss the current use of blockchain for payments, clearing, and settlement activities and what the potential landscape may look like in the near and distant future.
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.
A lot of payment innovations took place in China, Singapore, Japan and Korea in the past 5 – 10 years. Adoption of mobile payment took off at an accelerated pace, especially in China. The WeChat and Alipay ecosystems are growing with more innovative payment technologies that Canadian banks and businesses should pay attention to. What is applicable to the Canadian payment landscape? What are fads vs. real payment innovation?