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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

Using PredictionIO on IoT events

We covered PredictionIO in Chapter 3, Building Smarter Apps Using PredictionIO and Heroku and Chapter 4, Product Recommendation Application Using PredicitionIO and Salesforce App Cloud. If you recall using the Event Server, one can easily send Event Data to the event store and then process the data and apply machine learning algorithms to predict the next step or the next options and recommendations.

We can use the same engine code to integrate with IoT Cloud Event Data and add intelligence to the Event Data to recommend the next best action, making the apps smarter.

The following screenshot shows the high-level view of how one can build scalable applications for the IoT by using the Salesforce app cloud platform (Heroku + IoT Cloud + Salesforce Force.com):

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