Book description
Incorporate the power of Einstein in your Salesforce application
About This Book
- Make better predictions of your business processes using prediction and predictive modeling
- Build your own custom models by leveraging PredictionIO on the Heroku platform
- Integrate Einstein into various cloud services to predict sales, marketing leads, insights into news feeds, and more
Who This Book Is For
This book is for developers, data scientists, and Salesforce-experienced consultants who want to explore Salesforce Einstein and its current offerings. It assumes some prior experience with the Salesforce platform.
What You Will Learn
- Get introduced to AI and its role in CRM and cloud applications
- Understand how Einstein works for the sales, service, marketing, community, and commerce clouds
- Gain a deep understanding of how to use Einstein for the analytics cloud
- Build predictive apps on Heroku using PredictionIO, and work with Einstein Predictive Vision Services
- Incorporate Einstein in the IoT cloud
- Test the accuracy of Einstein through Salesforce reporting and Wave analytics
In Detail
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.com 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.
Style and approach
This book takes a straightforward approach to explain Salesforce Einstein and all of its potential applications. Filled with examples, the book presents the facts along with seasoned advice and real-world use cases to ensure you have all the resources you need to incorporate the power of Einstein in your work.
Table of contents
- Preface
- Introduction to AI
- Role of AI in CRM and Cloud Applications
- Building Smarter Apps Using PredictionIO and Heroku
-
Product Recommendation Application using PredicitionIO and Salesforce App Cloud
- Introduction to Spark MLlib
- Setting up the Event Server app on Heroku
- Setting up the Recommendation engine application on Heroku
- Setting up IntelliJ IDEA IDE for customizing PredictionIO application
- Introduction to building Lightning Component for App Cloud and Community Cloud
- Building similar Recommendation Lightning Component for App Cloud
- PredictionIO commands cheat sheet
- Summary
- Salesforce Einstein Vision
- Building Applications Using Einstein Vision and Salesforce Force.com Platform
-
Einstein for Analytics Cloud
- Setting up Wave Analytics Cloud
- Creating datasets, lenses, and dashboards
-
Using transformations to create dataset
- The sfdcDigest transformation
- The sfdcRegister transformation
- The append transformation
- The augment transformation
- The computeExpression transformation
- The computeRelative transformation
- The delta transformation
- The dim2mea transformation
- The edgemart transformation
- The filter transformation
- The flatten transformation
- The sliceDataset transformation
- An update transformation
- Wave Analytics SAQL, XMD 2.0, and dataset Row-Level Security
- Introduction to Einstein Data Discovery
- Importing Salesforce data into Einstein Data Discovery and creating stories
- Summary
-
Einstein and Salesforce IoT Cloud Platform
- IoT Cloud key terms
- IoT Cloud components
- Apache Kafka on Heroku
- IoT integration on the Salesforce Force.com platform
- Using PredictionIO on IoT events
- Summary
- Measuring and Testing the Accuracy of Einstein
Product information
- Title: Learning Salesforce Einstein
- Author(s):
- Release date: June 2017
- Publisher(s): Packt Publishing
- ISBN: 9781787126893
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