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

Knowing when to go beyond declarative features

Throughout this book, we have highlighted a range of scenarios that might mean you can't—or shouldn't—go forward with a standard or even a declarative solution. Whether for compliance or goodness of fit, or due to a need for detailed algorithmic control, a third-party or custom solution can in many cases be the right decision. Just because you have good features on a platform, this doesn't mean these features can solve every requirement well.

First, it is worth noting that Einstein Platform Services, while developed by Salesforce, is actually from an architectural point of view more or less equivalent to a third-party API solution just with a bit of additional tooling added to make your life easier. You should therefore evaluate these alongside other third-party APIs in most cases.

Third-party API solutions in general can add substantial value if they are a close fit to business requirements. They are...