Machine Learning

Illustration showing zeros and ones going into a box and coming out as plain English

How to detect fraud in less than three milliseconds

Ever wonder how a financial transaction is evaluated for risk when a machine learning platform is used? Wonder no more; we’ll show you! Watch the video to gain insight on how machine learning scores financial transactions for risk. 

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Machine Learning Platforms Help Banks Meet Customer Demands for Digital Solutions

Faced with increased consumer demand for digital payment solutions, retail banks are working tirelessly to adapt existing business models to attract and keep the twenty-first century customer. One common response has been to tack on individual solutions to traditional services in order to meet customers’

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Two female data scientists looking at a laptop screen, trying to fight fraudfight

A New Timescale for Fraud-Fighting Data Science, With Feedzai AutoML

At a time when data scientists are more critical to banks than ever – and more scarce – Feedzai AutoML is augmenting fraud-fighting data science teams by combining two things for the first time: automatic machine learning, and a platform purpose-built to fight fraud.

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Looking up at tall buildings with a blinding sky in between them

Forget About the Algorithms – It’s the Data that Prevents Fraud

Myth: it’s all about the algorithm. Reality: it’s all about the data the training data, the sources of data, and the quality of the data.

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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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PSD2 and You: Why Banks Are Turning to Artificial Intelligence

by Richard Harris, Head of International Operations You know how the Chinese word for “crisis” is the same for “opportunity?” The bad news is that’s actually a myth. The good news is the metaphor still applies to PSD2. Whether banks like it or not, the

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New Ebook: How to Choose a Machine Learning Platform for Risk

If you’re a merchant, an acquirer, or a payment service provider, you might be searching for a unified strategy that can manage risk without creating customer friction. We can help you procure the right solution. The Feedzai platform powers 1 in 5 of the world’s top 25 banks,

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Going Vintage at MRC 2017

In a future-focused industry where features and concerns seem to appear from somewhere beyond the horizon of the present moment, it was a surprise that the Merchant Risk Council main event this year focused on the past. Paper shredders, anyone? Check fraud? Copy machines? Maybe

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“Don’t Be Creepy” And Other Lessons from Last Night’s REAL MACHINE

Last night, a slew of AI enthusiasts came together at Wells Fargo in San Francisco for a panel discussion on AI. It was the latest installment in Feedzai’s REAL MACHINE event series. Sitting on the panel were Petros Zerfos (the Next Generation Applications Group at

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AI, Risk and Banking – Peter Moenickheim, Prior Chief Risk Officer at Santander Consumer

Consumers and companies are all-too familiar with the consequences of financial fraud, having been victims of massive data breaches and orchestrated campaigns of payment fraud across all channels. What’s less clear is how financial institutions and merchants can stay one step ahead of the risk

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