![machine learning.jpg](https://images.squarespace-cdn.com/content/v1/583ddaade4fcb5082fec58f4/1523345891254-QW2APYIGPSDS46Z85HE3/ke17ZwdGBToddI8pDm48kADe1lnWbwFFgdYAhEBHkrhZw-zPPgdn4jUwVcJE1ZvWQUxwkmyExglNqGp0IvTJZUJFbgE-7XRK3dMEBRBhUpzvwwC87c5W0yAtKexNoI-pBbHJbzrmpos7J85KCXETpgoMvOHI7HwYAGiBFv-a1sE/machine+learning.jpg)
In this webinar, Bart Van Liebergen presented the findings from a global survey of 60 firms (58 banks and 2 mortgage insurers) on machine learning in credit risk. The webinar covered the following:
- state of adoption or exploration of machine learning;
- the specific techniques;
- areas of application;
- benefits and challenges;
- data issues;
- model governance and regulation; and
- implications for policymakers and supervisors.
Date and Time
April 18, 2018 9:00 AM in Eastern Time (US and Canada)