Machine Learning, Fintech, & the Future of Payments - Canh Tran / Co-Founder of Rippleshot

Canh Tran is the CEO and Co-Founder of Rippleshot, a startup that detects payment card data breaches. They take a big-data machine learning approach, more common in search, genetics and advertising, and apply it in a novel way for the payment processing industry to help banks, merchants and processors proactively monitor suspicious fraudulent activity and implement smarter fraud risk management strategies when card compromises do occur. It is a massive industry with a lot of room for improvement.  LISTEN ON ITUNES LISTEN ON GOOGLE PLAY In This Episode You Will Learn:How Rippleshot catches data breachesWhy banks need outside helpWhere the name comes fromWhat they are looking for in breachesThe ingeneious ways credit cards are stolenHow safe is our future when we pay with wearablesHow they got their first customers by starting smallWhy criminals target smaller banksThe differences between Silicon Valley, Chicago, and St LouisWhat Canh would like to see chicago tech improve onThe differences between 1871 and CatapultThe benefits of growing up abroadThe impact of a handwritten thank you letterWhat the future of fraud loss looks likeWhat gets Canh up in the morningSelected Links From The Episode:Howard Tullman, CEO of 1871Craig Vodnik, Co-Founder of Cleverbridge and investor in RippleshotFavorite Books:The Deptford Trilogy: Fifth Business; The Manticore; World of Wonders by Robertson DaviesSnow Falling on Cedars by David GutersonLinked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life by by Albert-laszlo Barabasi