In this report, we dispell some of the myths around building a machine learning system for risk.
Download this report to discover:
- What are the obstacles facing in-house teams of data scientists and AI engineers
- Why a model might excel in the sandbox and fail in the field
- Why the same open source components can result in very different capabilities
- Why fraud detection is only the beginning, not the end
- Why there’s a meaningful difference between difficult and really difficult