Remove Chatbots Remove IDP Remove ML
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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. IDP is powering critical workflows across industries and enabling businesses to scale with speed and accuracy. billion in 2025 to USD 66.68

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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

Amazon Kendra is an intelligent search service powered by machine learning (ML). 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.

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Build a custom UI for Amazon Q Business

AWS Machine Learning Blog

The workflow includes the following steps: The user accesses the chatbot application, which is hosted behind an Application Load Balancer. If you already have an OAuth-compatible IdP, you can use it instead of setting an Amazon Cognito user pool. Amazon Q uses the chat_sync API to carry out the conversation.

IDP 126
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Derive meaningful and actionable operational insights from AWS Using Amazon Q Business

AWS Machine Learning Blog

In this post, we’re using the APIs for AWS Support , AWS Trusted Advisor , and AWS Health to programmatically access the support datasets and use the Amazon Q Business native Amazon Simple Storage Service (Amazon S3) connector to index support data and provide a prebuilt chatbot web experience. AWS IAM Identity Center as the SAML 2.0-compliant

IDP 111