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 looked at Einstein Platform Services, the APIs Salesforce provides to allow you to tap into their AI capabilities at a foundational level. We looked at three examples of how this technology can be used within the CRM, but to be honest, we've only been able to scratch the surface.

The APIs provide an impressive capacity to be tailored using customer-specific data and for customers to build their own set of models on top of the core technology provided by Salesforce. This is also the main reason to go in this direction, architecturally speaking. You should use Einstein Platform Services if you have a relatively advanced use case that requires a level of customized data to perform well and you have the necessary technical capacity to implement it.

One thing worth noting is that Einstein Platform Services is not an all-encompassing set of AI services in the style provided by Amazon, Microsoft, or Google. Rather, it is a focused niche offering...