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

AWS Machine Learning

Some examples include a customer calling to check on the status of an order and receiving an update from a bot, or a customer needing to submit a renewal for a license and the chatbot collecting the necessary information, which it hands over to an agent for processing. Save your configuration.

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

AWS Machine Learning

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. The use of the AWS Lambda function will provide you with fine-grained control of the Amazon Kendra API calls.

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GPT-NeoXT-Chat-Base-20B foundation model for chatbot applications is now available on Amazon SageMaker

AWS Machine Learning

This demonstration provides an open-source foundation model chatbot for use within your application. GPT-NeoXT-Chat-Base-20B is designed for use in chatbot applications and may not perform well for other use cases outside of its intended scope. In addition to the aforementioned fine-tuning, GPT-NeoXT-Chat-Base-20B-v0.16

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Integrate Amazon Lex and Uneeq’s digital human platform

AWS Machine Learning

Chatbots and virtual assistants have transformed the customer experience from a point-and-click or a drag-and-drop experience to one that is driven by voice or text. In this post, we guide you through the steps required to configure an Amazon Lex V2 chatbot, connect it to Uneeq’s digital human, and manage a conversation. AWS Lambda.

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WhatsApp Ticketing System: A Quick Set-Up Guide

JustCall

You can also recruit chatbots to build an FAQ bank for your customers. This way, chatbots can handle basic queries and tasks quickly. Automate the chatbot response, include variations of the same issues, and train the bot on how to answer common queries like order tracking and store contact details.

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The Benefits of CXP 20

Aspect

Although most chatbots and virtual assistants are still text-based, AI-enabled speech-to-text and text-to-speech hosted services are improving rapidly. Our innovative customers can now leverage Google with the help of our Prophecy media browser the Google STT (automatic speech recognition tool) and text-to-speech APIs.

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What CTOs Should Know Before Implementing Conversational AI in the Contact Center

SmartAction

It linked via API to internal data sources and current customer input to find a successful solution. Challenges (and Solutions) Conversational AI chatbots can handle a massive number of customer queries at a time, 24/7, many without a need for human intervention. Request a demo now. It’s the future, today.