MLOps

In the ever-evolving world of data-driven decisions, organizations aim to refine predictive models for optimal outcomes. This involves challenging existing models with candidates, tracking performance, and promoting effective models within the Customer Decision Hub framework.

Change management through 1:1 Operations Manager facilitates seamless adjustments, aided by validation datasets for effective model challenges. The process includes selecting sources, comparing models, and configuring challengers for review. Flexibility exists in shadowing, challenging, or replacing active models with contenders, all while keeping business outcomes in focus. Upon deployment, changes are enacted, and validated challenger models can be promoted, empowering adaptive decision-making in a dynamic landscape.

Beginner

Decision Management

Inglês

Depois de concluir este módulo, você deverá ser capaz de:

Describe the change management process.

Shadow, challenge, or replace the predictive model that drives a prediction.

Pratique o que aprendeu no seguinte Desafios:

Challenging a Predictive Model v1 Shadowing an adaptive model v1

Disponível na seguinte missão:

AI for 1:1 Customer Engagement v3

Tópicos

Change management process

5 min

Shadowing an adaptive model

10 min

Challenging a predictive model

10 min

Quiz do módulo

5 min