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.

Anfänger

Decision Management

Englisch

Nach Abschluss dieses Moduls können Sie Folgendes:

Describe the change management process.

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

Üben Sie das Gelernte in den folgenden Challenges:

Challenging a Predictive Model v1 Shadowing an adaptive model v1

In der folgenden Mission verfügbar:

AI for 1:1 Customer Engagement v3

Themen

Change management process

5 Min.

Shadowing an adaptive model

10 Min.

Challenging a predictive model

10 Min.

Modulquiz

5 Min.