Presentations

Using Machine Learning to Combat Fraud at Scale

Deliveroo and Ravelin share insights on how merchants can make the leap from a rules-based fraud detection system to a machine learning system.

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Who Needs Manual Review? #ML @Booking.com

Learn how Booking.com built an in-house machine learning solution in eight months and dramatically reduced both false declines and chargebacks.

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Winning a Faustian Bargain: Local Payment Methods and Recurring Payments

Adyen and MailChimp discuss the impact local payment methods have on companies with subscriptions and other recurring payment models.

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You Don't Have a Fraud Problem, You Have an Identity Problem

Four fraud and risk leaders share insights and best practices on combatting online criminal attacks.

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Advanced Profiling as a Business Enabler

Learn how a combination of machine learning and advanced profiling allowed an online travel agency to optimize their performance.

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Anonymous Payments: Knowing Your Unknown Customers

Threatmetrix and paysafecard discuss the challenges of authentication and fraud detection in an anonymous payment environment.

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Curing Chargeback Headaches by Connecting Issuers and Merchants with the Right Information at the Right Time

Discover how a better future for payments and fraud prevention can be achieved through better communication between merchants and issuers.

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Data Sharing for Fraud Prevention

Cifas, with the help of one of its member companies, Telefonica UK, explains how sharing case data can help organizations thwart fraud and improve the bottom line.

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Europol eCommerce Action Week -- Success of Combining Law Enforcement and the Private Sector

Europol shares how law enforcement and private sector interests can join forces to tackle various forms of online fraud.

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Every Email Address Tells a Story

Emailage explains how online retailers can rapidly and accurately differentiate between legitimate customers and fraudsters using email addresses.

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