Traditional machine learning approaches require that the entire dataset is centralized.

You may have experimented with blockchain projects to drive transparency in your supply chain or efficiencies in cross-border payments. You may have live AI-driven applications in customer services or backend automation. You may even be considering migrating your core infrastructure into the cloud to increase storage efficiencies and speed. But have you considered how these technologies should be integrated with each other to drive your core strategy now, and not just the periphery or on a ten year horizon? The driver for innovation projects in incumbent organisations is largely to break down silos.

This entry was posted on Wednesday, November 1st, 2017. The bright lights of Las Vegas have gone out on Money20/20 for another year. As always, the event brought together the biggest names in payments and provided unprecedented insight into the future of financial services. So, after four days of discussions and demonstrations, what were the three big trends from this year's installment? This was the year that artificial intelligence (AI) arguably overtook blockchain as the biggest buzzword in payments and became the latest mega-trend to revolutionize the industry.

The bright lights of Las Vegas have gone out on Money20/20 for another year. As always, the event brought together the biggest names in payments and provided unprecedented insight into the future of financial services. So, after four days of discussions and demonstrations, what were the three big trends from this year's installment? This was the year that artificial intelligence (AI) arguably overtook blockchain as the biggest buzzword in payments and became the latest mega-trend to revolutionize the industry. AI has the potential to profoundly impact all areas of payments and financial services delivery, and indeed already is in some areas.

At this year's Money20/20 conference, held in Las Vegas from October 22-25, BI Intelligence identified three emerging trends that will likely dictate much of the innovation in the payments space over the next year: AI's emergence in financial services, a reinvigorated focus on payments security, and partnerships to chase the network effect. However, the number of AI-specific announcements from major players was relatively limited compared with how much of the dialogue at the conference centered on future use cases. In general, the most mature use cases of AI are on the back-end. Thanks to recent advancements in natural language processing (NLP), conversational use cases, like messaging app bots, are receiving attention from financial services providers. But they're far from the most natural applications of AI technology -- big data and analytics tools, risk and fraud prevention platforms, and regtech offerings are among many areas in financial services where AI is driving more significant returns today.

Watch this video for highlights from Feedzai's AI Deep Dive at Money20/20 in Las Vegas. Feedzai curated an all-star AI line-up in Las Vegas on Sunday, in partnership with Money20/20, with an "AI Deep Dive" event that kicked off the annual conference on the future of money. For the last few months, we've been lining up speakers from financial institutions, fintech innovators, academics, and futurists -- people who are on the front lines of AI advancements today. The room for the event fit a thousand people. By the end of the first session, the room was packed with people standing in the aisles.