The Feedzai Blog

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3 Ways Machine Learning Can Transform Business

While big data has been the holy grail for competitive differentiation for the past few years, many experts believe 2016 will be the year that businesses will turn to machine learning to take advantage of the massive amounts of data at their disposal. In fact,

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New innovations in IoT payments

Systems like ApplePay have yet to truly take off, but companies are already looking to the future of digital payments. Most consumers still have yet to bite. According to PYMNTS’ Apple Pay Adoption Tracker, only 16.6 percent of consumers had tried the platform as of

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Thick link chain (blockchain metaphor) around weathered green wood pole

Nasdaq uses blockchain-based technology to reduce risk and prevent fraud

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From Darth Vaders to Death Eaters

There was a time when iconized symbols of good and evil were as clear as black and white. The distinctive armor with black helmet and polished finish uniquely identified the dark side. But such unequivocal characterization has long been displaced. The battle of good vs.

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Why Data Monetization Can Help You Grow

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What Is the Smartphone’s Role In the Omnichannel Environment?

The vision of omnichannel retail continues growing brighter by the day. However, it’s not without its flaws. With multiple channels of purchasing goods, criminals now have more attack vectors that allow them to defraud customers and financial institutions. It’s important for banks to stay afoot

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What Is Big Data’s Role in Fraud Prevention?

Fraud prevention technology continues to improve on a regular basis. With criminals often looking for every opportunity to exploit critical information for lucrative or nefarious purposes, financial institutions must stay up to speed to protect their customers and their bottom lines. Data analytics is taking

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Democratizing Data Can Help Fraud Prevention Evolve

Fraud prevention’s most capable asset at present is analytics. By detecting patterns through data science, there’s a great chance that banks can find anomalies consistent with fraudulent transactions. However, the problem with data science is its complexity. Namely, the proportion of information that requires analysis

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