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

Choosing the right feature based on strategic factors

By strategic factors, we mean the high-level business-related considerations that we need to consider when designing an AI feature. AI projects are rarely small or inexpensive, and considering the business consequences of the decisions we're making is a necessary corrective for any conclusions we might draw from our functional or structural analysis. You can see where we are in the overall framework in the following diagram:

Figure 9.5 – Strategic factors

We will begin this analysis by considering the size of investment required to implement different types of features.

Size of investment

The initial investment covers the amount of effort and money, including licensing costs, that will be required to implement an AI feature. We will include in this the full life cycle cost of the implementation and the ongoing maintenance cost of running the solution.

Considering our feature categories...