Accelerating and Protecting Payments with Real-Time Data for ML

Data Scientists at Adyen have for a long time developed and constantly improved Machine Learning (ML) models that are utilised at various stages of payment processing. Would it be fraud detection, payment schemas routing optimization, bot attacks detection or payouts, ML has consistently proven to deliver better results than traditional rule-based manually configured tools and has become a core driver of growth for the business.

With growing adoption of ML, the demand for model features has been steadily on the rise. Having these features custom built and refreshed daily stopped being sufficient, easy to build and realtime features that could be used reliably at global scale became a necessity to improve the product.

In this session the teams behind Adyen's Feature Platform will present how we generate real-time data that is used in the core of Adyen's payment processing engine.