Use AWS Machine Learning to Analyze Customer Calls from Contact Centers (Part 2): Automate, Deploy, and Visualize Analytics using Amazon Transcribe, Amazon Comprehend, AWS CloudFormation, and Amazon QuickSight Amazon Web Services

In the previous blog post, we showed you how to string together Amazon Transcribe and Amazon Comprehend to be able to conduct sentiment analysis on call conversations from contact centers. Here, we demonstrate how to leverage AWS CloudFormation to automate the process and deploy your solution at scale. The following diagram illustrates architecture that takes uses Amazon Transcribe to create text transcripts of call recordings from contact centers. In this example, we refer to Amazon Connect (cloud-based contact center service), but the architecture could work for any contact center. The following diagram describes the architecture for processing transcribed text by using Amazon Comprehend to conduct Entity, Sentiment and Key Phrases analysis.