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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

Introduction to building Lightning Component for App Cloud and Community Cloud

Now that we have an event store (prediction server Heroku app) to capture all the user view events and ratings, and also a prediction engine (prediction engine on Heroku) to train and ask for prediction, we will focus the rest of the section on building frontend components that make REST-based calls to endpoints when a user views an item, and then we will build a component to display similar items for a product based on user View events. By the end of this chapter, we will build a reusable Lightning Component that can be used on the Salesforce communities and Salesforce App Builder. The aim of the rest of the chapter is to show how one can integrate Salesforce with the PredictionIO components we have deployed on the Heroku server.

The Salesforce platform primarily offers two ways to build a custom frontend...

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