SET Training - Banking and Fintech

Check out all my latest POSTS on banking, fintech, payments, risk management, AI and more on my LinkedIn page HERE Read my latest Articles at ' Stanley's Musings'  by clicking HERE     For details of my training courses click HERE

For the past year, generative AI has dominated discussions about how emerging technology stands to transform our lives, and the payments space has been a big part of the conversation. Though generative AI is a hot topic, the road to development is long. Along with the opportunities come notes of caution and warnings that this revolution may take a while. Read the full story HERE .

The payments landscape is evolving rapidly, and fast payment systems (FPS) have emerged as a key innovation. Jurisdictions differ in their approach to designing FPS and in user adoption.  In this article the authors lay out the main design features of FPS that may foster adoption. Cross-country regressions suggest that adoption of fast payments is greater when the public sector plays an active role in the FPS. Other design factors important for adoption are non-bank participation, more use cases and more cross-border connections. Read the full article HERE .

We're living through an inflection point for artificial intelligence: From generated images and video to advanced personal assistants, a new frontier of technologies promises to fundamentally change how we live, work, and play.  And yet for all the buzz and concerns about how AI will change the world, in many ways, it already has.  From spam filters and sentence suggestions in our email inboxes to voice assistants and fitness tracking built into our phones, countless machine learning tools have quietly weaved their way into our everyday lives. But when we're surveyed about which everyday technologies use artificial intelligence and which don't, we aren't particularly good at knowing the difference. Does that matter?