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Performance and Monitoring of Financial Institution AI/ML Models

Publisher IDC
Published Jan 13, 2022
Length 6 Pages
SKU # IDC16921510

Description

Performance and Monitoring of Financial Institution AI/ML Models

This IDC Perspective highlights the awareness of monitoring AI/ML models for performance. Data is the new gold as far as the development and predictability of AI/ML models. Financial institutions are rich in data and are applying it toward more models in all business and risk capacities. Quality data, explainability of the data, and periodic model review are imperative steps to managing models."It is important to review model outputs and metrics of each model on a regular basis to ensure performance meets standards and also satisfy regulator expectations," said Kevin Dolan, research director, IDC Financial Insights.

Please Note: Extended description available upon request.

Table of Contents

6 Pages
Executive Snapshot
Situation Overview
Benefits of AI/ML Models
Building Versus Buying AI/ML Models
Model Monitoring and Key Risks
Bias
Explainability
Drift
Measuring Model Control and Performance
Key Metrics
Regulator Concerns
Advice for the Technology Buyer
Learn More
Related Research
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