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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 strategic factors

By strategic factors, we mean the high-level business-related considerations that we need to consider when designing an AI feature. AI projects are rarely small or inexpensive, and considering the business consequences of the decisions we're making is a necessary corrective for any conclusions we might draw from our functional or structural analysis. You can see where we are in the overall framework in the following diagram:

Figure 9.5 – Strategic factors

We will begin this analysis by considering the size of investment required to implement different types of features.

Size of investment

The initial investment covers the amount of effort and money, including licensing costs, that will be required to implement an AI feature. We will include in this the full life cycle cost of the implementation and the ongoing maintenance cost of running the solution.

Considering our feature categories...

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