Show Real-Time Predictions and Next Best Action Recommendations by Using AI
Accelerator
Show prediction scores, suggestions and insights about prediction scores, and Next Best
Action recommendations for your batch and real-time use cases by creating an AI Accelerator use
case. Customize the configuration of the AI Accelerator use case by defining your own feature
extraction settings and Einstein Discovery model. You can create an AI Accelerator use case only
if you’ve trained and deployed the model for a template configuration.
Required Editions
| Available in: Lightning Experience |
| User Permissions Needed |
| To set up a Data Cloud template configuration: |
Scoring Framework Admin |
Before you create an AI Accelerator use case for any template configuration with the train and
deploy model, make sure that AI Accelerator is enabled.
-
From Setup, in the Quick Find box, enter Industries Cloud Einstein,
and then select Scoring Framework.
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On the card of the template configuration that you want to use, click
, and select
Edit.
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For Use AI Accelerator, click Set Up.
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To create an AI Accelerator use case, click Yes.
An AI Accelerator use case is created with the default configuration of Batch Input as the
feature input type, Einstein Discovery as the prediction platform, 3 as the maximum insights
and suggestions, and 5 as the suggestion impact percentage. NBA recommendations, and saving of
computed features and prediction results are disabled.
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To continue to define the template configuration, click Save &
Continue.
To return to the Scoring Framework Setup page, save your changes.
