Book Image

Architecting AI Solutions on Salesforce

By : Lars Malmqvist
Book Image

Architecting AI Solutions on Salesforce

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)
Section 1: Salesforce and AI
Section 2: Out-of-the-Box AI Features for Salesforce
Section 3: Extending and Building AI Features
Section 4: Making the Right Decision

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...