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Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning Blog

Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces in applications. Managing your Amazon Lex bots using AWS CloudFormation allows you to create templates defining the bot and all the AWS resources it depends on.

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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning Blog

With Amazon Lex bots, you can use conversational AI capabilities to enable these capabilities within your call center. Amazon Lex uses automatic speech recognition (ASR) and natural language understanding (NLU) to understand the customer’s needs and assist them on their journey. For instructions, refer to Installing the AWS SAM CLI.

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Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

AWS Machine Learning Blog

Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. With Amazon Lex, you can implement an omnichannel strategy where customers engage via phone, websites, and messaging platforms. This is the second post of a two-part series.

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Create powerful self-service experiences with Amazon Lex on Talkdesk CX Cloud contact center

AWS Machine Learning Blog

This is the first of a two-part series dedicated to the integration of Amazon Lex with the Talkdesk CX Cloud contact center. In this post, we describe a solution architecture that combines the powerful resources of Amazon Lex and Talkdesk CX Cloud for the voice channel.

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Exploring Generative AI in conversational experiences: An Introduction with Amazon Lex, Langchain, and SageMaker Jumpstart

AWS Machine Learning Blog

We have included a sample project to quickly deploy an Amazon Lex bot that consumes a pre-trained open-source LLM. Solution overview The solution integrates an Amazon Lex bot with a popular open-source LLM from Amazon SageMaker JumpStart , accessible through an Amazon SageMaker endpoint.

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Building AI chatbots using Amazon Lex and Amazon Kendra for filtering query results based on user context

AWS Machine Learning Blog

When the user signs in to an Amazon Lex chatbot, user context information can be derived from Amazon Cognito. The Amazon Lex chatbot can be integrated into Amazon Kendra using a direct integration or via an AWS Lambda function. Users will rely on Amazon Cognito to authenticate and gain access to the Amazon Lex chatbot user interface.

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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning Blog

In this post, we share how the Kentucky Transportation Cabinet’s (KYTC) Department of Vehicle Regulations (DVR) reduced call hold time and improved customer experience with self-service virtual agents using Amazon Connect and Amazon Lex. Amazon Lex and the AWS QnABot Amazon Lex is an AWS service for creating conversational interfaces.

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