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)
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

Summary

Congratulations! You have made it to the end of the book. Sprinkle yourself with gold stars and get ready to implement some Salesforce AI solutions. On a more serious note, while you now have the foundation to understand the architecture and design of AI features on Salesforce, this is a fast-moving area and you should prepare to keep up to date—for instance, by looking at some of the additional resources we have suggested.

Overall, the key message of this book is that you as an architect have an impressive array of options at your disposal when creating solutions for AI requirements on Salesforce. However, the sheer number of powerful options you have available and the many detailed limitations and considerations that pertain to them means that your job gets harder, not easier.

You have to make the right engineering trade-offs between the different features at your disposal in order to satisfy both your business users and the various organizational constraints...