ML Monitoring Dashboards: Your Model's Health Chart
An ML monitoring dashboard is a health chart for your production model, showing how its performance decays. It tracks silent failures like data drift or concept drift, where user behavior changes and makes your model obsolete.
An ML monitoring dashboard is a health chart for your production model, tracking its predictive quality after deployment. It visualizes silent failures like data drift, where input data changes, or concept drift, where real-world patterns evolve and degrade model accuracy. It's essential for any live model, from recommenders to fraud detectors. The biggest footgun is assuming a deployed model is static; models decay, and without monitoring, you won't know when they start failing silently.
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