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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences.

APIs 121
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Implement secure API access to your Amazon Q Business applications with IAM federation user access management

AWS Machine Learning

AWS recommends using AWS IAM Identity Center when you have a large number of users in order to achieve a seamless user access management experience for multiple Amazon Q Business applications across many AWS accounts in AWS Organizations. illustrate how the administrators can automate Steps 2 and 3 using AWS APIs. and oidcapp.py

APIs 78
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Implement real-time personalized recommendations using Amazon Personalize

AWS Machine Learning

Businesses use their data with an ML-powered personalization service to elevate their customer experience. Amazon Personalize accelerates your digital transformation with ML, making it easier to integrate personalized recommendations into existing websites, applications, email marketing systems, and more.

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Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

AWS Machine Learning

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 101
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Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

AWS Machine Learning

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. For multiple accounts, assign mandatory tags to each one, identifying its purpose and the owner responsible.

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Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service

AWS Machine Learning

Amazon Personalize allows you to add sophisticated personalization capabilities to your applications by using the same machine learning (ML) technology used on Amazon.com for over 20 years. You can also add data incrementally by importing records using the Amazon Personalize console or API. No ML expertise is required.

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Build your multilingual personal calendar assistant with Amazon Bedrock and AWS Step Functions

AWS Machine Learning

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. The deployment will output the API Gateway endpoint URL and an API key.