Misconceptions About Building a Machine Learning Platform for Risk

Is your organization considering building its own system for risk? 

Feedzai’s CTO, Paulo Marques, explains why he hasn’t seen an organization succeed yet. In this report, he dispells some of the myths around building a machine learning system, from his vantage point at the helm of an organization that has spent years to build the most advanced machine learning 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

Get the Report: