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AI Accelerator and Scoring Framework
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            Show Real-Time Predictions and Next Best Action Recommendations by Using AI Accelerator

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            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.

            1. From Setup, in the Quick Find box, enter Industries Cloud Einstein, and then select Scoring Framework.
            2. On the card of the template configuration that you want to use, click Quick actions menu button, and select Edit.
            3. For Use AI Accelerator, click Set Up.
            4. 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.
            5. To continue to define the template configuration, click Save & Continue.
              To return to the Scoring Framework Setup page, save your changes.
             
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