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

In this chapter, we have examined the AI features present in the Marketing and Commerce Clouds. This was a high-paced exploration of a multitude of features that help personalize the customer journey across both email and the web, and you may be feeling slightly dizzy from the experience. Well done for hanging on.

In the Using Einstein Marketing Cloud section, we looked at features such as Einstein Splits and Send Time Optimization, which can help you target the right people at the right time with your email messages. We also looked at Einstein Recommendations and Content Selection, which can tailor the content of messages to individual users. Overall, we saw a deep level of capability, perhaps deeper than anywhere else in the Einstein Platform, that can be deployed in a range of common scenarios with little configuration required.

For Commerce Cloud, we looked at specialized AI capabilities that focus on personalizing the shopping experience. This included recommending...