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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

Knowing when to go beyond declarative features

Throughout this book, we have highlighted a range of scenarios that might mean you can't—or shouldn't—go forward with a standard or even a declarative solution. Whether for compliance or goodness of fit, or due to a need for detailed algorithmic control, a third-party or custom solution can in many cases be the right decision. Just because you have good features on a platform, this doesn't mean these features can solve every requirement well.

First, it is worth noting that Einstein Platform Services, while developed by Salesforce, is actually from an architectural point of view more or less equivalent to a third-party API solution just with a bit of additional tooling added to make your life easier. You should therefore evaluate these alongside other third-party APIs in most cases.

Third-party API solutions in general can add substantial value if they are a close fit to business requirements. They are...

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