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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

Summary

In this chapter, we covered the baby steps required to understand the IoT offerings from Salesforce, and how Einstein will add Artificial Intelligence capabilities to make the IoT Cloud intelligent. Apache Kafka is an open source framework that allows us to build real-time event streaming and processing applications. Salesforce IoT Cloud leverages Spark, Apache Kafka, and Storm and Einstein PredictionIO framework leverages Spark as well, so this means that we can expect some greater machine learning capabilities baked into IoT Cloud.

In the next chapter, we will briefly touch upon how one can test the accuracy of machine learning applications.

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