×

Three vital steps to enhancing your risk models are around the corner!

First Name
Last Name
Company Name
Job Title
!
Thank you!
Error - something went wrong!
   

How Can You Enhance Your Risk Models? Finding Better Signals to Feed Them

Risk and fraud officers around the world are beginning to realize that their risk models simply aren’t up to scratch. They’re seeing for themselves that it’s not enough to build a risk model once and then rest on your laurels. The risk landscape is changing, new datasets are emerging — and your machine learning models need to evolve and rise to the challenge, too. 

Unless your models deliver real business benefits and answer your pressing questions, what are they for? In this in-depth guide, we reveal the real reasons your machine learning risk models are falling short, what you can do to fix them — and exactly how to tackle the problem.

 

You’ll discover: 

  • The three vital steps to enhancing your risk models

  • Where to look for the data you don’t have in-house

  • How to streamline your connections to external data

Previous Flipbook
Start Small and Scale Smart: Do You Need a Data Science Team, Platform, or Service?
Start Small and Scale Smart: Do You Need a Data Science Team, Platform, or Service?

There’s no one way to start using data science. This guide walks you through the pros and cons of each appr...

Next Flipbook
How to Improve Your Training Data for Vastly Better Machine Learning
How to Improve Your Training Data for Vastly Better Machine Learning

Making your training data better is much easier than you think, and you can use several easy strategies for...