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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

Using the decision guide

This chapter is structured as a decision-making guide to help you ask the right questions and make the right decisions, given your specific requirements. It contains three sections with factors that should be considered during the solution design phase of your AI project.

These factors will guide you based on the type of features we have considered in this book. In general, we can consider the features along a spectrum of more out-of-the-box to more custom, as shown in the following diagram:

Figure 9.1 – AI feature spectrum

At the far left, we have pure out-of-the-box features such as Email Insights, while at the far right, we have entirely Custom Code-based solutions. For this guide, we will group these into four categories: out-of-the-box, declarative customizations, third-party APIs, and custom code-based solutions.

To use this guide, make a shortlist of different solution options that you might consider for implementation...

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