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)

What you need for this book

This book assumes that the reader is familiar with programming, either as an open source developer or a Salesforce developer.

Basic knowledge of Apex

The backend language for Salesforce applications is called Apex. It is a strongly-typed object-oriented language, which is syntactically very similar to Java.

Basic knowledge of Scala

PredictionIO is a Scala application, and hence familiarity with Scala will help you understand the code better. It is strongly recommended that you should try all the code covered in the book on your own local machine and try deploying the code on the Heroku free instance.

Basic knowledge of frontend technologies such as JavaScript and HTML

Salesforce Lightning components use web technology such as JavaScript and HTML, and hence having a basic knowledge will help you a great deal.

Salesforce Developer instances and MAC OS X

You will need a Mac OS X to locally test the code covered in Chapter 3, Building Smarter Apps Using PredictionIO and Heroku and Chapter 4, Product Recommendation Application Using PredicitionIO and Salesforce App Cloud. Also, it requires you to have your own Salesforce and Heroku instances. To obtain a free Salesforce instance, sign up at https://developer.salesforce.com/signup, and to obtain a free Heroku account, sign up at https://signup.heroku.com/.

To connect Mac OS X to Heroku, download and install the Heroku CLI from https://devcenter.heroku.com/articles/heroku-cli.