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

Introducing Einstein for Industry Clouds

For Salesforce, industry, clouds are a strategic priority at the moment. Both through the work they have been doing on their industry-specific cloud offerings and through their recent acquisition of Vlocity, they have made it clear that they see the fastest time to value for their enterprise customers by adopting industry clouds on top of the core clouds that are already in use.

As part of this development, each industry cloud has also been getting upgrades related to the Einstein Platform. It now makes sense to talk about a Health Cloud Einstein and a Financial Services Cloud Einstein much in the same way as we previously talked about Sales Cloud Einstein.

These features are often much more specific and, to some extent, more complex and difficult to use than many we have looked at so far. This is not surprising as the problems being addressed are much more specific, and the number of customers for each feature is smaller.

That being...