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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

Choosing the right feature based on functional factors

Functional factors include everything that is needed to implement the actual user experience of a given AI feature. That is both the UI, the data model, and the associated automation and code that is required for the whole process to work. In the following section, we will go through some of the key concerns that you may have, as an architect, in terms of functional factors and discuss how the different types of AI solutions stack up.

We will start by looking at functional fit, which is an obvious starting point for evaluating a feature to see if you wish to include it in your solution.

The following diagram shows where we are in the overall framework:

Figure 9.3 – Functional factors

Functional fit

By functional fit, we mean how well a given feature supports the use case that you want to apply it to. For instance, if you are considering a lead scoring requirement, you would evaluate the...

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