Deployment

Systematize best practices to make model deployment and versioning faster, easier—and more profitable.

Datatron accelerates model iteration via:
  • Model versioning
  • Model rollback
  • Model canary
  • Dial-up traffic
  • Deployment strategy
  • Replay features
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Monitoring

Detect machine-learning model decay early, not via post mortem.

Datatron automates:
  • Model performance
  • Anomaly detection
  • Model timeout
  • KPI
  • Infrastructure monitoring
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Management

More effectively manage multiple models in real time.

Datatron’s patent-pending Challenger model permits:
  • Split traffic functionality with an eay UI
  • Passive model “shadowning” for analysis
  • SLA latency requirement enforcement
  • Sequence A/B testing
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