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

AWS Machine Learning

Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. For more information on setting up your account, refer to the Genesys documentation. Save your configuration.

Chatbots 108
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Build a custom UI for Amazon Q Business

AWS Machine Learning

This solution uses an Amazon Cognito user pool as an OAuth-compatible identity provider (IdP), which is required in order to exchange a token with AWS IAM Identity Center and later on interact with the Amazon Q Business APIs. Amazon Q uses the chat_sync API to carry out the conversation. A VPC where you will deploy the solution.

APIs 122
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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Check out the following demo to see how it works. It’s straightforward to deploy in your AWS account. Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application.

APIs 122
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Introducing Amazon Textract Bulk Document Uploader for enhanced evaluation and analysis

AWS Machine Learning

Unlike the existing Amazon Textract console demos, which impose artificial limits on the number of documents, document size, and maximum allowed number of pages, the Bulk Document Uploader supports processing up to 150 documents per request and has the same document size and page limits as the Amazon Textract APIs.

APIs 81
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WhatsApp Ticketing System: A Quick Set-Up Guide

JustCall

With aspects like multichannel support and varied products and services into account, businesses need a streamlined platform to reach customers and address their needs on time. WhatsApp Business has apps for small businesses and an API for large teams. Complete the registration process from your Meta developer account’s dashboard.

APIs 52
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Streamline Sales Processes with Enterprise CPQ

Cincom

Integration with Existing Systems: APIs facilitate data sharing between CPQ and other core platforms like CRM, ERP, accounting, e-commerce, and more. Together, this enables the coordination of the dispersed teams necessary for serving massive multinational accounts.

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Build a medical imaging AI inference pipeline with MONAI Deploy on AWS

AWS Machine Learning

We have developed a MONAI Deploy connector to AHI to integrate medical imaging AI applications with subsecond image retrieval latencies at scale powered by cloud-native APIs. AHI provides API access to ImageSet metadata and ImageFrames. These two options cover a majority of near-real-time medical imaging inference pipeline use cases.