Book Image

Learning Salesforce Einstein

By : Mohit Shrivatsava
Book Image

Learning Salesforce Einstein

By: Mohit Shrivatsava

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)

Setting up IntelliJ IDEA IDE for customizing PredictionIO application

IntelliJ IDEA IDE is commonly used to build Java and Scala based applications. Working on an IDE makes the developer's experience better and with added intelligence and local debugging capabilities, we can build and test our PredictionIO applications at a greater speed. You can also use Eclipse, but we will cover IntelliJ as it is gaining popularity and has advantages such as a context-based look and feel and smart autocompletion features.

The steps to set up IntelliJ IDE for the PredictionIO project are as follows:

  1. Download the IntelliJ IDE community edition for free from Install the Scala plugin ( once the installation of the IDE is complete. Consider the following screenshot:
Restart your IDE once...