Skip to main content

Módulo

Model governance

4 Temas

50 minutos

Pega Customer Decision Hub 8.8
Visible to: All users
Principiante Pega Customer Decision Hub 8.8 Inglés

AI has the potential to deliver significant benefits, but improper controls can result in regulatory issues, public relations problems, and liability. The Pega T-Switch™ settings in Prediction Studio, which define the transparency thresholds for business issues, help companies to enable users to deploy AI algorithms responsibly and safely.

U+ Bank uses Pega Customer Decision Hub™ to personalize the offers that customers see when they log in to the U+ Bank website. Customer Decision Hub provides tools to give local and global explanations for the behavior of the adaptive model, such as Customer Profile Viewer for local explanations and the ADM predictor importance report for global explanations. An ethical bias simulation enables you to test your engagement policies for unwanted bias.

Después de completar este módulo, podrá hacer lo siguiente:

Explain how Prediction Studio reflects the model transparency policy of the company.
Provide local explanations in Customer Profile Viewer for a single propensity calculation of an adaptive model.
Use the ADM predictor importance report to provide global explanations of the factors that drive predictions.
Explain the function of an ethical bias simulation.
Detect unwanted bias in engagement policies.

Practique lo que ha aprendido en el siguiente Reto:

Detecting unwanted bias in engagement policy conditions v4

Disponible en la siguiente misión:

AI for 1:1 Customer Engagement v2

We'd prefer it if you saw us at our best.

Pega Academy has detected you are using a browser which may prevent you from experiencing the site as intended. To improve your experience, please update your browser.

Close Deprecation Notice