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7. Inferencing via Batch Transforms

This segment covers the process of inferencing via batch data transforms in Einstein Studio's Predictive AI platform. It details the steps involved in setting up a new batch data transform, including selecting applicant data, mapping model inputs, and configuring output insights like top contributors and prescriptions. The session concludes with a demonstration of running the batch data transform and viewing the resulting predictions alongside contributing factors for each applicant.