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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

Summary

In this chapter, we looked at a variety of industries and found that there's a high degree of variability in what Einstein features are provided by the industry clouds, as well as how broadly they might be applicable. Common to many of the industry clouds is a focus on analytics rather than machine learning models. This shouldn't surprise us as the journey toward deploying AI is significantly behind the one toward deploying advanced analytics in most industries.

However, we also found several predictive models, either standalone or using Einstein Discovery Stories, that gave an added predictive capability on top of the analytical apps. We also saw some full-fledged and unique models, such as the Intelligent Document Automation in Financial Services Cloud, which ups the game for what is possible within industry clouds.

It is always difficult to make predictions, especially without a model to help, but it seems likely that industry clouds will be a major growth...

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