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Architecting AI Solutions on Salesforce

Architecting AI Solutions on Salesforce

By : Lars Malmqvist
4.8 (13)
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Architecting AI Solutions on Salesforce

Architecting AI Solutions on Salesforce

4.8 (13)
By: Lars Malmqvist

Overview of this book

Written for Salesforce architects who want quickly implementable AI solutions for their business challenges, Architecting AI Solutions on Salesforce is a shortcut to understanding Salesforce Einstein’s full capabilities – and using them. To illustrate the full technical benefits of Salesforce’s own AI solutions and components, this book will take you through a case study of a fictional company beginning to adopt AI in its Salesforce ecosystem. As you progress, you'll learn how to configure and extend the out-of-the-box features on various Salesforce clouds, their pros, cons, and limitations. You'll also discover how to extend these features using on- and off-platform choices and how to make the best architectural choices when designing custom solutions. Later, you'll advance to integrating third-party AI services such as the Google Translation API, Microsoft Cognitive Services, and Amazon SageMaker on top of your existing solutions. This isn’t a beginners’ Salesforce book, but a comprehensive overview with practical examples that will also take you through key architectural decisions and trade-offs that may impact the design choices you make. By the end of this book, you'll be able to use Salesforce to design powerful tailor-made solutions for your customers with confidence.
Table of Contents (17 chapters)
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1
Section 1: Salesforce and AI
3
Section 2: Out-of-the-Box AI Features for Salesforce
8
Section 3: Extending and Building AI Features
12
Section 4: Making the Right Decision

Chapter 9: A Salesforce AI Decision Guide

This chapter will present a summary of all the key architectural decisions and trade-offs that are relevant to the technologies discussed in this book. We will start by introducing the guide and how to use it, then move on to discussing how to approach the decision-making process from three perspectives:

  • A functional perspective grounded in common use cases
  • A structural perspective grounded in technical and non-functional requirements
  • A strategic perspective grounded in the long-term evolution of a company's enterprise architecture

In this chapter, we're going to cover the following main topics:

  • Using the decision guide
  • Choosing the right feature based on functional factors
  • Choosing the right feature based on structural factors
  • Choosing the right feature based on strategic factors
  • Applying the framework in practice

After completing this chapter, you will have learned how to make...

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