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)

Introduction to AI

AI stands for Artificial Intelligence and it's been widely used in our daily life. Whether you are using Siri on your MacBook, Cortana on your Windows, playing Call of Duty, driving a smart car, or using movie recommendation services, all use Artificial Intelligence to a great extent to predict the outcome. Artificial Intelligence powers e-commerce Recommendation feeds, Facebook feeds, Fraud Detection in banking transactions, and many more use cases.

Salesforce CRM is one of the widely used CRMs today and there are tons of applications that are built on top of the Salesforce App Cloud platform used across various verticals, such as healthcare (Salesforce Health Cloud), finances (Financial Cloud and Financial Force ), insurance (Vlocity), and so on. Adding Artificial Intelligence to these types of applications will make the CRM and apps smarter. This book is an attempt to introduce developers on the Salesforce platform, the capabilities of the Salesforce Einstein (Artificial Intelligence for CRM), to bring Artificial Intelligence into the Salesforce apps, and also to introduce how Einstein can be used across marketing, sales, service, community, and various other Cloud offerings of Salesforce. We also cover PredictionIO, which is an open source machine learning server to build smarter applications.

Before we deep dive into Einstein offerings for developers and data scientists, this chapter covers the basics of Artificial Intelligence and key terminology in the world of Artificial Intelligence. Also, we will see how to use Google Prediction API's to build a simple demonstration of machine learning and Artificial Intelligence in conjunction with the Salesforce data to support the relevant theory.

In this chapter, we will cover the following topics:

  • Artificial Intelligence key terms
  • Programming languages used for machine learning
  • Practical machine learning with Google Prediction API and Salesforce