Dublin 2018 Presentations
A Perfect Match: Solvency Protection and Fraud Prevention
Arvato and home24 examine the evolution of retail and look at how solvency can be used to augment a company's risk mitigation strategy.
Artificial intelligence gets you so far. Augmented intelligence can get you farther.
CyberSource outlines how a hybrid platform pairing machine learning with human intelligence can help companies balance accuracy and efficiency, and ultimately lead to a better customer experience.
Can Fraud Make Happy (and Loyal) Customers?
Etsy shares insights on how they look at fraud management through a customer experience lens and the positive impact this has made on their business.
Deep-Dive into Neural Networks
RatePAY uses a case study to illustrate how machine learning can be leveraged to stop fraud in real time.
eCommerce Fraud and Global Expansion: How Gymshark grew tenfold without having to worry about fraud
Riskified and Gymshark discuss the challenges of international expansion and cross-border commerce, and provide tips to help companies focus on their core business.
eShopWorld: A Machine-Learning Based Approach to Optimising Conversion Across the Globe
eShopWorld explains how they migrated their fraud system to use machine learning models and the lessons they learned.
Fighting Friendly Fraud 101
Uber looks at the growing problem of friendly fraud and shares ways in which the company is both fighting this fraud type and winning more disputes.
Fraud and Cyber Trends from Emerging Markets
Group IB discusses why cybercriminals are targeting emerging markets and what types of attacks are prevalent in specific areas.
Global Attitudes to the Internet of Things
Worldpay shares results of their research on consumer opinions concerning Internet of Things devices, their willingness to try such products, and potential concerns in areas such as security and privacy.
How to Make the Most of Your Key Data Elements for Robust Risk Intelligence
Emailage examines six common data inputs and looks at the value they provide from a risk assessment context.