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)

Explore Einstein Vision APIs

If we recall from Chapter 1, Introduction To AI, the three primary steps involved in any machine learning system are: ability to consume datasets, train the model, and predict the outcome. The following diagram shows all these steps in relation to the image recognition offered by the Einstein Vision services:

All the APIs required to train the model, and upload and form datasets are discussed here:
https://metamind.readme.io/docs/predictive-vision-service-api

In this section, we will explore a few of the API calls that we will use frequently. To get a temporary token to use along with the CURL tool, generate a temporary token using the following URL:
https://api.metamind.io/token

This will require you to input the Email or Account ID used for registration and the Private Key downloaded in the previous step. The following diagram shows us how to obtain...