Run your data science team like an engineering team

We believe that data science should be treated as software engineering.

It’s easy and fun to ship a prototype, whether that’s in software or data science. What’s much, much harder is making it resilient, reliable, scalable, fast, and secure. We’ve spent five years building and running our platform, and want to share some thoughts about what we’ve learnt along the way. Above all else, we believe that data science should be treated as software engineering.

Our mission at Ravelin is to generate accurate predictions of risk at speed and scale, and we apply our predictions to the task of stopping fraud online. We are purposely not dogmatic about the methods employed to make those predictions, and use a combination of Expert Rules, Graph Databases and Machine Learning (ML). …



About

Leonard Austin

Cofounder & CTO of Ravelin.

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