Broadcast Date: October 20, 2020

Level: 300

Your customers and employees are always searching for answers to their questions. You also have rich data stores of knowledge housed across your organization that can often answer many of those questions. Answering these questions effectively are essential to solving customer queries and improving employee productivity. In this tech talk, we will share how customers are combining Amazon Kendra, an enterprise search service powered by machine learning, with Amazon Lex, a service for building conversational interfaces for voice and text. We will describe the different approaches to manage your documents, create flows that include QnA, and illustrate how to provide the answers your users are looking for. Next, we will walk through how to deploy and customize a multi-channel (voice & text) QnA bot using Amazon Kendra and Amazon Lex. Finally, we’ll wrap up with best practices on channel deployment and refinement.

Learning Objectives

  • Understand common use cases and documents used to build a QnA bot
  • Learn about different approaches for building a QnA bot
  • Learn how to deploy QnA for Conversational Interfaces with Amazon Kendra and Amazon Lex

Who Should Attend?

Business Decision Makers, IT Decision Makers, Contact Center Managers, IT Managers, Developers, Software Engineers


  • Andrew Kane, Prin. Solutions Architect, AWS

Learn More

To learn more about the services featured in this talk, please visit:

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