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Learn more about Sama's work with data curation

Model Maintenance: Monitoring, Drift, and Continuous Improvement
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Model Maintenance: Monitoring, Drift, and Continuous Improvement

Production AI models degrade over time as data, users, and environments change, often without obvious failure signals. This post outlines how to detect model drift, monitor the right performance and input signals, and apply structured maintenance workflows to evaluate, retrain, and release models safely in production.

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Amdocs Group President Anthony Goonetilleke

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Taxonomy Categorization: How to Classify Products and Content at Scale

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Guide to Text Annotation: Types, Use Cases, and Best Practices

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