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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

Building Smarter Apps Using PredictionIO and Heroku

If you recall in Chapter 1, Introduction to AI, we covered the basics of machine learning and covered a simple experiment by integrating Google's Prediction API with the Force.com platform. The infrastructure and the web service was all maintained by Google, and we just consumed it.

In this chapter, we will cover PredictionIO which is a part of Einstein's offering exclusive for developers to build machine learning algorithms with Salesforce/external data. PredictionIO abstracts the complexity of setting a machine learning system to build predictive applications. It helps us simplify by setting the infrastructure and responds to dynamic queries in real time once deployed as a web service. It is also used internally by Salesforce and various other open source apps. Since it is open source, developers can use this to build...

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