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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

Chapter 6: Declarative Customization Options

This will be a hands-on chapter that shows how you can use generic Einstein declarative features to create your own solutions as well as discussing when that is the right approach. By working through this chapter, you will gain knowledge of how and when to use the declarative features of the Einstein Platform. We will be using our Pickled Plastics Ltd. scenario throughout to ground our examples.

In this chapter, we're going to cover the following main topics:

  • Introducing Einstein declarative features
  • Giving timely advice with Einstein Next Best Action
  • Predicting outcomes with Einstein Prediction Builder
  • Generating insights with Einstein Discovery Stories

After completing this chapter, you will have gained an understanding of how to use out-of-the-box features to configure advanced AI solutions on Salesforce, using clicks not code.

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