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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 8: Integrating Third-Party AI Services

This, too, will be a hands-on chapter that takes you through three examples of custom development. In this case, we are using external third-party services as part of normal Sales/Service workflows on Salesforce. The first example will train a custom prediction model to predict the likelihood of a support case resulting in legal liability using Amazon SageMaker, the second will extract key phrases from a case, and the third will bring in automated translations with the Google Translation API. As part of each feature discussion, it will reference the Pickled Plastics Ltd. scenario that is used throughout the book to give a real-world grounding.

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

  • Introducing the examples
  • Predicting with a custom model using AWS SageMaker
  • Extracting key phrases with Azure Text Analytics
  • Translating text with Google Translate

After completing this chapter, you...

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