Machine learning is a powerhouse when it comes to fraud detection. But there are still skeptics who aren’t quite sold. Fortunately, Ravelin Senior Data Scientist, Hayley Bannister, is on hand to ease all suspicions.
Trusting technology and reducing manual reviews can feel like a big leap of faith. But it doesn’t have to be! Hayley draws on her experience deploying models to solve a range of use cases to break down how and where machine learning works best.
- Why machine learning isn’t the black box you think it is
- How you can optimize the performance of machine learning
- How machine learning can be used alongside other fraud prevention techniques