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DEV / Data Science & AIEmployee-Facing

Model Monitoring Agent

MLE Strategist
Operational

"Tracks ML model drift and accuracy; triggers retraining workflows."

Pipeline Health

Model DriftNegligible
Success Rate99.4%
Latency120ms
Cost/Op$0.002

Strategic Objectives

  • Prevent model degradation
  • Automate retraining cycles

Key Result Indicators (KPIs)

Target KPIPrecision/Recall stability
Target KPIDrift detection lag

Input/Output Pipeline

Modular Inputs

Inference logsGround truth labelsFeature distributions
Processing Layer

Self-optimizing transformer pipeline with RAG capabilities and cross-departmental data access.

Defined Outputs

Drift reportsJob trigger commands

Collaboration Matrix

Data Scientists
MLEs