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 Force.com Platform, teaches you how to use Einstein Vision API with the Salesforce Force.com 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.