How do you handle the challenge of model drift and ensure your AI models remain accurate over time?
Salesforce Director - Customer Success | Formerly HSBC, DELL, DELOITTE, AGILECRM, GAINSIGHT • 8mo
Model drift happens because customer behavior, usage patterns, and even market conditions keep evolving. To manage this, we monitor model accuracy against defined KPIs, set retraining cadences with the latest data, and run A/B testing with shadow models before deploying changes. We also keep humans in the loop i.e CSMs validate churn scores or expansion predictions such that the drift is caught early. If confidence drops below threshold, we fall back to proven rule-based processes to ensure cust ...Read More
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