
#73 Scaling AI Adoption in Financial Services with Chief Strategy Officer and Head of Financial Services at TruEra Shameek Kundu
DataFramed
00:00
Ensuring Model Integrity Through Explainability and Continuous Monitoring
This chapter explores the significance of explainability and interpretability in machine learning models used in financial services, highlighting a software solution that addresses key challenges. It underscores the need for comprehensive model quality assessments beyond accuracy, focusing on bias, overfitting, stability, and the importance of continuous monitoring for maintaining model integrity post-deployment.
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