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Learning Salesforce Einstein

You're reading from  Learning Salesforce Einstein

Product type Book
Published in Jun 2017
Publisher Packt
ISBN-13 9781787126893
Pages 334 pages
Edition 1st Edition
Languages

Table of Contents (10) Chapters

Preface 1. Introduction to AI 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 Applications Using Einstein Vision and Salesforce Force.com Platform

In the previous chapter, Salesforce Einstein Vision, we covered Einstein Vision APIs and how one can build web-based applications on Heroku. We used Node.js and React as our technology stack. This chapter focuses on how one can leverage the Salesforce Force.com platform to integrate with Einstein Vision APIs and provide image recognition capability across the sales, service, and Community Cloud. We will be leveraging Apex for all our business logic and outbound API callouts and Lightning Components to build user interfaces. In the previous chapter, Salesforce Einstein Vision, we assumed that the training of dataset will be carried out by the administrator via the command line. A shell script can be written on Linux, but we can also leverage the Force.com power to automate the training of dataset natively...

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