Vesta's Principal Data Scientist, Lin Wang discusses how to apply AIML strategies that can maximize revenue
How to use machine learning techniques to improve your approval rate while minimizing fraud
Event: BrightTALK Virtual Fintech Summit
Vesta Speaker: Lin Wang, Principal Data Scientist
With increased focus on using machine learning as a key pillar in the fraud detection process, it is important for merchants to stay focused on the end-goal of increasing approvals and not leave money on the table. Vesta Data Science team will share some key insights to stay ahead on maximizing revenue and how Vesta makes their customers more and more successful. We will go in depth into the following- Machine learning pipeline and automated model refresh and why that is key
- Ensemble model techniques – getting the best performance from your models
- Integrating with unsupervised machine learning