2017 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.
Who Needs Manual Review? #ML @Booking.com
Booking.com discuss how its fraud department built an in-house machine learning solution in eight months and dramatically decreased both false declines and chargebacks.
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.
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.
Improving Fraud Detection Using Machine Learning Models
Discover how machine learning is playing a critical role in the next evolution of fraud detection technology and receive recommendations in four key areas to help get the most out of machine learning systems.
Payment Opportunities in Gulf Countries
Discover key facts about the structure and intricacies of eCommerce markets in five key Gulf countries, and payment best practices merchants need to know when operating in the region.
Building Trust: Beyond the Chargeback
Learn why non-payment fraud is on the rise and see what companies can do to mitigate this type of fraud on their platforms.
CNP Fraud in Sneakers
Discover several fraud challenges specific to selling sneakers and how these lessons learned can be applied to a range of sectors in eCommerce.
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.
General Data Protection Regulation and Its Implications for Merchants
J.P. Morgan and Sidley Austin LLP present insights on the General Data Protection Regulation (GDPR) and review what merchants need to do to prepare before the GDPR takes effect in May 2018.