Description
Product Category: Best Practices Guides
Format: PDF
Best Practices for Post-Deployment Model Evaluation
Post-deployment evaluation of AI models is crucial for ensuring sustained performance, reliability, and business value in production environments. As models interact with real-world data and users, their performance can degrade over time due to data drift, changing user behaviors, and evolving business conditions. Here are the best practices for systematically evaluating and monitoring deployed AI models, enabling organizations to maintain model effectiveness, detect issues early, and make data-driven decisions about model updates and retraining. These practices combine technical monitoring, business impact assessment, and operational excellence to ensure deployed models continue to meet both technical and business objectives.
Paid subscribers can login and download the PDF file. In addition to this, there are 100 other Best Practices guides in this series. For a complete list of Best Practices, please visit https://www.kognition.info/best-practices-guides/
