Author:Saurabh Bajaj

Intelligent Automation, Transparent AI: Upcoming 2019 Predictions in Machine Learning and AI

In the last two years, AI and machine learning have evolved well beyond the most ambitious expectations. With tech giants like Google, Uber, and Tesla (to name a few) continuing to accomplish increasingly impressive feats, the number of AI and machine learning applications seem limitless.

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How Merchants Can Rapidly Confront the Account Takeover Crisis

    This is Part I of a series that examines the Account Takeover (ATO) crisis at both banks and merchants. First up: the impact that ATO is having on merchants.

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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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    Feedzai OpenML demo

    OpenML DEMO: WATCH US TRAIN A MODEL OUTSIDE FEEDZAI, AND BRING IT ON IN

      The OpenML Engine from Feedzai, launched just last week, represents the first-ever service that allows data scientists to bring their preferred approaches to a third party’s fraud-specific innovations. In this video, we show you how it works.

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      Man drawing diagrams on whiteboard

      MEET FEEDZAI’S OpenML ENGINE: “BRING YOUR OWN MACHINE LEARNING” TO FIGHT FRAUD

        The amount of progress being made in the machine learning and data science communities is staggering. As new algorithms, approaches and tools proliferate, and as banks hire more and more data scientists, it’s critical to be able to quickly adopt new methods that provide lifts in fighting fraud. So it’s a growing problem that fraud-fighting systems make it impossible to integrate your preferred modeling approaches and algorithms.

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