Book Image

Learning Salesforce Einstein

Book Image

Learning Salesforce Einstein

Overview of this book

Dreamforce 16 brought forth the latest addition to the Salesforce platform: an AI tool named Einstein. Einstein promises to provide users of all Salesforce applications with a powerful platform to help them gain deep insights into the data they work on. This book will introduce you to Einstein and help you integrate it into your respective business applications based on the Salesforce platform. We start off with an introduction to AI, then move on to look at how AI can make your CRM and apps smarter. Next, we discuss various out-of-the-box components added to sales, service, marketing, and community clouds from Salesforce to add Artificial Intelligence capabilities. Further on, we teach you how to use Heroku, PredictionIO, and the Force platform, along with Einstein, to build smarter apps. The core chapters focus on developer content and introduce PredictionIO and Salesforce Einstein Vision Services. We explore Einstein Predictive Vision Services, along with analytics cloud, the Einstein Data Discovery product, and IOT core concepts. Throughout the book, we also focus on how Einstein can be integrated into CRM and various clouds such as sales, services, marketing, and communities. By the end of the book, you will be able to embrace and leverage the power of Einstein, incorporating its functions to gain more knowledge. Salesforce developers will be introduced to the world of AI, while data scientists will gain insights into Salesforce’s various cloud offerings and how they can use Einstein’s capabilities and enhance applications.
Table of Contents (10 chapters)

Introduction to building Lightning Component for App Cloud and Community Cloud

Now that we have an event store (prediction server Heroku app) to capture all the user view events and ratings, and also a prediction engine (prediction engine on Heroku) to train and ask for prediction, we will focus the rest of the section on building frontend components that make REST-based calls to endpoints when a user views an item, and then we will build a component to display similar items for a product based on user View events. By the end of this chapter, we will build a reusable Lightning Component that can be used on the Salesforce communities and Salesforce App Builder. The aim of the rest of the chapter is to show how one can integrate Salesforce with the PredictionIO components we have deployed on the Heroku server.

The Salesforce platform primarily offers two ways to build a custom frontend...