Learn why it takes more than a class of machine learning algorithms to prevent eCommerce fraud.
Years ago, machine learning models and algorithms were a unique differentiator when analyzing data and stopping fraud. Now they are commonplace within the fraud prevention world. However, applying just machine learning to the easy-to-collect consumer data will not succeed. It takes a full lifecycle of data creation, feature extraction, and domain expertise to get it right.
Read this eBook to learn about:
- The evolution of machine learning in fraud prevention
- Why not all machine learning is created equal
- The machine learning data lifecycle
- 6 keys for machine learning to accurately prevent fraud