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Architecting AI Solutions on Salesforce

You're reading from  Architecting AI Solutions on Salesforce

Product type Book
Published in Nov 2021
Publisher Packt
ISBN-13 9781801076012
Pages 340 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Lars Malmqvist Lars Malmqvist
Profile icon Lars Malmqvist

Table of Contents (17) Chapters

Preface 1. Section 1: Salesforce and AI
2. Chapter 1: AI Solutions on the Salesforce Einstein Platform 3. Section 2: Out-of-the-Box AI Features for Salesforce
4. Chapter 2: Salesforce AI for Sales 5. Chapter 3: Salesforce AI for Service 6. Chapter 4: Salesforce AI for Marketing and Commerce 7. Chapter 5: Salesforce AI for Industry Clouds 8. Section 3: Extending and Building AI Features
9. Chapter 6: Declarative Customization Options 10. Chapter 7: Building AI Features with Einstein Platform Services 11. Chapter 8: Integrating Third-Party AI Services 12. Section 4: Making the Right Decision
13. Chapter 9: A Salesforce AI Decision Guide 14. Chapter 10: Conclusion 15. Assessments 16. Other Books You May Enjoy

Predicting outcomes with Einstein Prediction Builder

Einstein Prediction Builder is often referred to in Salesforce documentation as custom AI for admins. This statement has some claim to truth, at least if you have well-populated data objects with fields that have relatively stable correlations between them. In the following sections, we will review the capabilities of this feature and attempt to build a basic prediction ourselves.

Overview of Einstein Prediction Builder

Einstein Prediction Builder works by analyzing historical data in Salesforce objects using machine learning under the hood. While we don't have access to the details of the model used, we could perhaps assume that it uses the same kind of model tournament to determine the optimal algorithm that we have seen in previous features.

While there is no data science degree required to configure Einstein Prediction Builder, you do need to define your use case and success metrics upfront, if you want to use...

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