Overcoming regulatory roadblocks in machine learning models

Published: October 5, 2020 by Gary Stockton

The concept of machine learning has been around for 50+ years in analytic circles. But machine learning methods have created a stir in the last few years as their popularity and visibility increased in the U.S. consumer and commercial credit industry.

The use of these advanced methodologies has been constrained to mainly fraud/identity and collections. Machine Learning techniques are now available for credit decisioning.

Our upcoming Sip and Solve session will provide insights to help your regulator feel more comfortable with the methodology you are using. We will share how Experian is making machine learning explainable to regulators and boosting model performance.

During this session you will learn three take-aways:

  • Current model governance basics
  • How machine learning methods are boosting performance
  • Best practices in deployment and documentation to help regulators feel comfortable with this more powerful solution

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The latest insight, tips, and trends on all things related to commercial risk by the team at Experian Business Information Services. Please follow us on social media.

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