Data & AI

Automated Continuous Training (CT) Loop

Data & AI Pipelines diagram · made in Skemio

Continuous Training loop architecture diagram connecting inference drift monitoring to automated orchestrators, feature stores, and model registries.
Continuous Training loop architecture diagram connecting inference drift monitoring to automated orchestrators, feature stores, and model registries.
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What it shows

  • Statistical monitors detect feature distribution drift in real time.
  • Drift alerts trigger orchestrated training runs on fresh ground truth.
  • Model registries gate production promotion behind automated benchmarks.

The takeaway

Automated continuous training transforms fragile manual retraining into a self-healing ML lifecycle.

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