Data & AI

Data Drift Detection Pipeline

Data & AI Pipelines diagram · made in Skemio

Architecture diagram of data drift pipeline showing live inference logging features to Kafka, windowing to a drift evaluator comparing against baseline store, and alerting.
Architecture diagram of data drift pipeline showing live inference logging features to Kafka, windowing to a drift evaluator comparing against baseline store, and alerting.
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What it shows

  • Offline training sets establish reference statistical distributions.
  • Production feature logs stream through Kafka into sliding windows.
  • Kolmogorov-Smirnov and PSI tests trigger alerts when distributions drift.

The takeaway

Detect feature drift at the ingestion window before degraded predictions reach downstream users.

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