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Salesforce Lightning Platform Enterprise Architecture

You're reading from   Salesforce Lightning Platform Enterprise Architecture Architect and deliver packaged applications that cater to enterprise business needs

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781789956719
Length 646 pages
Edition 3rd Edition
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Author (1):
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Andrew Fawcett Andrew Fawcett
Author Profile Icon Andrew Fawcett
Andrew Fawcett
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Table of Contents (17) Chapters Close

Preface 1. Building and Publishing Your Application FREE CHAPTER 2. Leveraging Platform Features 3. Application Storage 4. Apex Execution and Separation of Concerns 5. Application Service Layer 6. Application Domain Layer 7. Application Selector Layer 8. Building User Interfaces 9. User Interfaces with Lightning Framework 10. Providing Integration and Extensibility 11. Asynchronous Processing and Big Data Volumes 12. Unit Testing 13. Source Control and Continuous Integration 14. Integrating with External Services 15. Adding AI with Einstein 16. Other Books You May Enjoy

Understanding Einstein Prediction Builder

For each prediction you set up with Prediction Builder, it scans a subset of records within a given Standard or Custom Object that you define. For each of those records, it reads a set of values from specific fields you provide (predictors). It then observes any correlations with the value of another field, which is known as the prediction field, also of your choosing.

After it has scanned the records, and when future records are created, it reviews the predictor field values and, using AI algorithms, outputs a prediction into a prediction result field. You can then use the predicted result field with an existing platform UI or reporting tools to display the prediction to the user (Process Builder rules or Apex Triggers are not supported). There are many AI algorithms available to perform this task, such as Random Forest...

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