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Architecting AI Solutions on Salesforce

You're reading from   Architecting AI Solutions on Salesforce Design powerful and accurate AI-driven state-of-the-art solutions tailor-made for modern business demands

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Product type Paperback
Published in Nov 2021
Publisher Packt
ISBN-13 9781801076012
Length 340 pages
Edition 1st Edition
Concepts
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Author (1):
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Lars Malmqvist Lars Malmqvist
Author Profile Icon Lars Malmqvist
Lars Malmqvist
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Salesforce and AI
2. Chapter 1: AI Solutions on the Salesforce Einstein Platform FREE CHAPTER 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

Summary

In this chapter, we have looked at how to integrate third-party AI services into our Salesforce solutions. We worked through a lot of material, but hopefully, by doing the hands-on work, you now have a real appreciation of what it takes to build this kind of solution, even if on a very simplified basis.

One key learning point is the substantial difference in complexity between deploying and accessing your own custom models and using third-party services. We spent by far the longest on the first task, and while this is a technique that can be used to meet any requirement, it puts all the onus on you to come up with the right data, model, and integration pattern. This is a big ask and while you can do it if the occasion calls for it, you should be cautious about overuse. This should also make you appreciate just how useful the ability to fine-tune existing models with your own data that we saw in Einstein Platform Services is.

In contrast, the other two services were integrated...

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