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.

Débutant

Decision Management

Anglais

Après avoir terminé ce module, vous pourrez :

Describe the change management process.

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

Appliquez ce que vous avez appris dans les Défis suivants :

Challenging a Predictive Model v1 Shadowing an adaptive model v1

Disponible dans la mission suivante :

AI for 1:1 Customer Engagement v3

Rubriques

Change management process

5 mins

Shadowing an adaptive model

10 mins

Challenging a predictive model

10 mins

Quiz du module

5 mins