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Learning Salesforce Einstein

You're reading from   Learning Salesforce Einstein Add artificial intelligence capabilities to your business solutions with Heroku, PredictiveIO, and Force

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787126893
Length 334 pages
Edition 1st Edition
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Author (1):
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Mohit Shrivatsava Mohit Shrivatsava
Author Profile Icon Mohit Shrivatsava
Mohit Shrivatsava
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Table of Contents (10) Chapters Close

Preface 1. Introduction to AI FREE CHAPTER 2. Role of AI in CRM and Cloud Applications 3. Building Smarter Apps Using PredictionIO and Heroku 4. Product Recommendation Application using PredicitionIO and Salesforce App Cloud 5. Salesforce Einstein Vision 6. Building Applications Using Einstein Vision and Salesforce Force.com Platform 7. Einstein for Analytics Cloud 8. Einstein and Salesforce IoT Cloud Platform 9. Measuring and Testing the Accuracy of Einstein

Importing Salesforce data into Einstein Data Discovery and creating stories

There are various connectors available in the Einstein Data Discovery tool to bring structural data from external sources. The following screenshot captures all the external sources that are currently supported:

As an administrator of the application, you will follow these steps:

  1. Connect to external datasources and create a dataset.
  2. Create stories using the dataset and share the stories via PowerPoint or a Word document.

The application has two subtabs, namely Datasets and Stories.

Creating datasets from Salesforce objects

In this section, we will explore the steps involved in bringing data from Salesforce to analyze and create a story:

  1. The first...
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