Grow More, Risk Less: A Case Study in How Machine Learning is Revolutionizing Fraud Prevention
Incorporating machine learning into fraud detection can help businesses of all sizes grow their revenue with less risk.
Why Business Optimisation is Key Before, During, and After Christmas
Preparation, strategy, and planning are all key in order to prevent fraud and risk exposure for companies and their customers during the hectic holiday season.
Five Best Practices to Become an Omni-Channel Payments Expert
Learn practical insights into how merchants can support key omni-channel use cases from three industry veterans.
Bootcamp Finale - Riskified Bootcamp Series, Part 4
Riskified tackles three traditionally tough topics to help merchants prepare for the holidays.
Optimal Manual Review: Driving Sales & Stopping Fraud - Riskified Bootcamp Series, Part 3
Merchants can increase revenue by optimizing their manual review processes while still preventing illegitimate transactions from being processed.
Automating the Fraud Review Process - Riskified Bootcamp Series, Part 2
Increasing the rate of automated reviews can help manual review teams cope with the impact of much higher sales during the hectic holiday season.
Handling the Holiday Load - Riskified Bootcamp Series, Part 1
Learn smart strategies fraud teams can use to handle the spike of transaction volume during the holidays.
The Critical Piece of Risk Assessment and Fraud Prevention Data You are Currently Not Using
In this Solution Spotlight webinar, Emailage discusses how email addresses can be used to mitigate risk as well as help identify legitimate transactions.
Badoo shares how applying operational efficiency best practices in error response management led to improved retry policies.
The Pros and Cons of Machine Learning in Stopping Online Fraud
A growing number of companies are incorporating machine learning as a critical layer in their approach to combat fraud.