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How Machine Learning Will Change the Way Banks Fight Fraud

    There is a lot of excitement in the air about the potential of machine learning when applied to many walks of life, from banking to insurance, from cancer research to pharmaceuticals. Our imagination is captivated by the notions of accelerated learning, greater knowledge, and productivity gains. While the concept of machine learning has been around since the late 1950s, it’s only in recent years that the required software infrastructure matured to the level where it is good enough and affordable enough to be adopted by large organizations.

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    Nuno Sebastiao and Stephen Hawking Share the Stage at Web Summit 2017

      What does a Silicon Valley CEO and a “Theory of Everything” physics legend have in common? They both shared the stage at Web Summit, and they both sounded the need for an AI Code of Ethics as humans begin to weave artificial intelligence into the fabric of our lives.

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      AI Visionaries and Overflowing Crowds at AI Deep Dive

        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.

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        A New Timescale for Fraud Science: Insights from Our CSO

          At Feedzai, we continue to break records in how quickly we begin delivering value to our customers. Speed of data science is important. The faster we can test and deploy new models, the sooner we can test multiple scenarios of rules and models and get

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          Operationalizing Machine Learning for Fraud: Human + Machine Learning is the Best of Both

          Fraudsters are leveraging every tool and strategy they can to take advantage of large organizations. They are breaching big data exposures, wielding new technology, and manipulating vulnerabilities in the market complexity itself. At the same time, the industry is going increasingly real-time to meet customer

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          Understanding the Unexplainable

            Machine learning isn’t just another tool that’s available at a data scientist’s disposal to solve any type of problem. Data scientists have to follow an entire process that includes six stages. At Feedzai, we refer to this as the Data Science Loop. To learn more

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            Make Your Merchants Love You

              Merchants today have the opportunity to reach their customers through different channels, creating new experiences that were never before imagined. In the early 2000s, customers were excited by the opportunity to shop online. Today, customers can order online and pick up in store, they can

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              Easing Into Machine Learning for PSD2: An Interview with Our VP of French Sales

                Jean-Damien Rubal has joined Feedzai to bring AI innovation to the French market. His arrival to Feedzai comes just as organizations are preparing for a post-PSD2 world, where new kinds of payments spell new risks – and new opportunities. What do you predict in these

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                “How’s the View?” And Other Questions for Our New VP of German Sales

                  Our new VP of Sales in Germany, Steffen Schreiber, comes to us with deep experience in payments technology, working with organizations like J.P. Morgan and Adyen. Read on to hear his thoughts on German banking trends, the advent of PSD2, and why Feedzai is the right place to be in the year 2017.

                  What are the particular challenges you’re seeing with payments in Germany?

                  PSD2 is top of mind in Germany as banks face new non-bank innovators entering the payments ecosystem. These new players pose threats to German banks, since PSD2 is giving innovators full access to customer bases that used to be exclusive to large banks.

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                  New Revenue and New Risk, In a Payments World Powered by Partnerships

                    “Most banks get it.” That was the finding of this year’s Accenture study on Banking Technology. They conducted a survey where 79% of North American banks agreed that that AI will “revolutionize” the way that banks and customers interact.

                    Now that most banks are seeing immense value from using some form of machine learning to power back-end processes like fraud detection, we’re seeing a shift in AI from the back office to the front office. AI is beginning to power every touchpoint along the customer journey, from marketing to sales to service, and 2017 is the year of this transition.

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