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 this book covers

Chapter 1, Introduction to AI, familiarizes you with basic terminologies used in the field of Artificial Intelligence. Learn the basics of the machine learning system by doing a small activity and integrating Salesforce with Google Machine Learning Services.

Chapter 2, Role of AI in CRM and Cloud Applications, covers a few out-of-the-box AI components from sales, service, marketing, Analytics Cloud, and Community Cloud offerings.

Chapter 3, Building Smarter Apps Using PredictionIO and Heroku, teaches you the basics of PredictionIO by configuring and setting a simple machine learning engine. This chapter also covers installation, architecture, and integration capabilities of the PredictionIO system.

Chapter 4, Product Recommendation Application using PredicitionIO and Salesforce App Cloud, teaches you how to build a simple product recommendation application using PredictionIO. This chapter covers how you can use Apex and Lightning Component and integrate SFDC with the PredictionIO Event Server and Engine.

Chapter 5, Salesforce Einstein Vision, helps you explore and learn the Salesforce Einstein Vision API. This chapter covers how you can build a Heroku node-based web application for image recognition using Einstein Vision offerings.

Chapter 6, Building Applications Using Einstein Vision and Salesforce Platform, teaches you how to use Einstein Vision API with the Salesforce platform. It also covers how you can integrate the Einstein Vision Services using Apex.

Chapter 7, Einstein for Analytics Cloud, covers the basics of the Analytics Cloud and Einstein Data Discovery offerings.

Chapter 8, Einstein and Salesforce IoT Cloud Platform, teaches you the basics of IoT Cloud offerings, Apache Kafka on Heroku add-on, Platform Events, and Identity Management on Salesforce for IoT devices.

Chapter 9, Measuring and Testing the Accuracy of Einstein, will cover how to use Salesforce reporting to measure the accuracy of the Einstein Predictions and Recommendations, and how to test and measure performance of a machine learning model.