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)

IoT Cloud components

Any business process can be mapped to the IoT Cloud components via the following diagram:

The key things to note from the preceding diagram are as follows:

  • Event Data: This is the streaming data that you do not want to store inside the IoT Cloud. In our temperature sensor example, this can be the room temperature the sensor outputs via push notifications every second.
  • Context Data (Stored Data in IoT Cloud): This is stored in the IoT Cloud. This can be a device name, device model, and contact name/person where the sensor is installed.
  • Profile Data: This combines Event Data and Context Data to create data that can act as an input to the Orchestration unit.
  • Orchestration: This consists of the states, transitions, rules, conditions, and actions.

Input streams and...