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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 1: AI Solutions on the Salesforce Einstein Platform

In this chapter, we will see why it is a good idea to build AI solutions on Salesforce and what business and technical benefits this approach can have. We will then take a bird's eye view of the various components that will be discussed throughout the book, present a basic architectural view of Salesforce Einstein, the AI platform embedded in Salesforce, and continue with a discussion on how architecting AI solutions is different from architecting traditional solutions.

This chapter ends by presenting Pickled Plastics Ltd., a scenario that will be expanded throughout the book to help reinforce the real-world applications of the technology.

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

  • Why would you build AI solutions on Salesforce?
  • What are the main components of Salesforce AI?
  • What are the elements of Salesforce Einstein?
  • What's special about architecting for AI?
  • Presenting Pickled Plastics Ltd.

By the end of this chapter, you will know how to think about architecting AI solutions on Salesforce.

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