Model governance

Deployment e ciclo di vita in MLOps

Nemanja Radojkovic

Senior Machine Learning Engineer

ai headlines

Deployment e ciclo di vita in MLOps

credit risk

Deployment e ciclo di vita in MLOps

underestimation

Deployment e ciclo di vita in MLOps

bankrupt

Deployment e ciclo di vita in MLOps

cost of decision 1

Deployment e ciclo di vita in MLOps

cost of decision 2

Deployment e ciclo di vita in MLOps

Governance

AI/ML model governance is the overall process for how an organization controls access, implements policy, and tracks activity for models and their results.

Effective model governance is the bedrock for minimizing risk to both an organization's bottom line and to its brand.

~ DataRobot.com

Deployment e ciclo di vita in MLOps

governance phases

Deployment e ciclo di vita in MLOps

design

Deployment e ciclo di vita in MLOps

dev governance

Deployment e ciclo di vita in MLOps

ops governance

Deployment e ciclo di vita in MLOps

proportional to risk

Deployment e ciclo di vita in MLOps

use case based risk

Deployment e ciclo di vita in MLOps

Risk categories

Deployment e ciclo di vita in MLOps

Summary

  • Governance means extra steps, but alternative is anarchy.
  • "Launching many models fast" is not our goal, but generating business value.
  • Reckless ML --> more damage than benefit.
  • More models, more obvious the benefit of governance becomes.
Deployment e ciclo di vita in MLOps

Let's practice!

Deployment e ciclo di vita in MLOps

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