Model governance

MLOps Deployment and Life Cycling

Nemanja Radojkovic

Senior Machine Learning Engineer

ai headlines

credit risk

underestimation

bankrupt

cost of decision 1

cost of decision 2

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

governance phases

design

dev governance

ops governance

proportional to risk

use case based risk

Risk categories

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.

Let's practice!

MLOps Deployment and Life Cycling