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Module

Measuring the impact of AI

1 Rubrique

15 mins

Pega Customer Decision Hub 8.5
Visible par : All users Applies to: Pega Customer Decision Hub 8.5

The boost in the success rate, also known as lift, that artificial intelligence (AI) achieves is an important business metric. To report on this metric, a data scientist can use predictions. Predictions add best practices to predictive models and use a control group as a benchmark to measure lift. Customers in the control group receive a random offer instead of the one selected by AI. The use of a control group also adds a degree of exploration to the exploitation of the models.

Débutant
Anglais

Après avoir terminé ce module, vous pourrez :

Describe how predictions add best practices to predictive models
Explain how the use of a model control group allows the measurement of lift
Explain how the use of a model control group adds exploration to the exploitation of the models

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