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.

初級

Decision Management

英語

このモジュールを完了したら、以下の目的を達成できるようになります。

Describe the change management process.

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

このモジュールで学習したことは、下記のチャレンジで実践できます。

Challenging a Predictive Model v1 Shadowing an adaptive model v1

このモジュールは、下記のミッションにも含まれています。

AI for 1:1 Customer Engagement v3

トピック

Change management process

5 分

Shadowing an adaptive model

10 分

Challenging a predictive model

10 分

モジュールクイズ

5 分