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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

For any AI-based system to be efficient, it requires quality historical data in large volumes. This chapter covered the fundamentals of measuring the accuracy of various Einstein offerings. This also brings us to the end of the book. We have equipped ourselves with the fundamentals on which we can expand and build. A few years from now, it will be interesting to see the components that will be added by Salesforce to make applications on the Salesforce platform smarter and more intelligent. This book is just a step into the world of Artificial Intelligence with Salesforce data. As a Salesforce developer, it is time to invest in skills with technology such as PredictionIO, Spark ML, Apache Kafka, Scala, and machine learning fundamentals in order to stay up-to-date .

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