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Machine Learning for the enterprise — model risk
Model risk, approval, and who signs off before a model reaches a customer
Overview
Building a model is now the straightforward part. The question that stalls enterprise programmes is the one asked immediately after the pilot succeeds: on whose authority does this go live, and what happens if it is wrong.
What's Included
- A model inventory
- Risk tiering
- Approval gates
- Monitoring standards
- Ask your teams for the model inventory
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