Fraud Prevention in Online B2B Transactions
A talk from Dr Marina Theodosiou, Chief Data Scientist @ Two.
In this session, we’ll explore how Two.inc has successfully developed a state-of-the-art fraud prevention engine. By skillfully aggregating specialized ML models in a hierarchical manner, they’ve achieved unparalleled precision. Other elements to the strategy encompasses a robust data-centric infrastructure and an in-house MLOps Ecosystem. This ecosystem acts as an exoskeleton for Data Scientists, enhancing collaboration, enabling swift deployments, and ensuring effective monitoring and updates for ML solutions.
Join us to learn how Two.inc’s holistic model and strategy tackles the multifaceted challenge of fraud prevention!
This session was from our in-person Sandbox Session with 9fin.