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Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning

Today, we are excited to announce three launches that will help you enhance personalized customer experiences using Amazon Personalize and generative AI. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users.

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Generative AI, LLMs and AI Assistants: A Deep Dive into Customer Experience Technology

COPC

AI is advancing rapidly and will have a revolutionary impact on customer experience. The potential of AI to enhance customer engagement, streamline operations, and foster efficiency is undeniable. This article explores the inner workings of AI assistants, showcasing their ability to provide direct answers to customer inquiries.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

In this post, we discuss model development and MLOps framework implementation for one of Wipro’s customers that uses Amazon SageMaker and other AWS services. Its AI/ML solutions drive enhanced operational efficiency, productivity, and customer experience for many of their enterprise clients.

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Use the Amazon SageMaker and Salesforce Data Cloud integration to power your Salesforce apps with AI/ML

AWS Machine Learning

When a version of the model in the Amazon SageMaker Model Registry is approved, the endpoint is exposed as an API with Amazon API Gateway using a custom Salesforce JSON Web Token (JWT) authorizer. frameworks to restrict client access to your APIs. For API Name , leave as default (it’s automatically populated).

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Deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK

AWS Machine Learning

We are truly at an exciting inflection point in the widespread adoption of ML, and we believe every customer experience and application will be reinvented with generative AI. The web application interacts with the models via Amazon API Gateway and AWS Lambda functions as shown in the following diagram. Choose Generate image.

APIs 91
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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

It’s designed to provide a seamless customer experience to listeners and creators by debuting interactive live audio shows from your favorite artists, radio DJs, podcasters, and friends. When the message is received by the SQS queue, it triggers the AWS Lambda function to make an API call to the Amp catalog service.

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Your Customers Are Talking, But Are You Listening?

Call Journey

The answer is simple: businesses are investing in capturing and analyzing customer feedback. This trend is further spurred by the API economy and a rise of marketplaces such as AppFoundry, offering specialized, highly sophisticated, yet light solutions. Agent Script Adherence. The name of the game is integration. Profanities.

Scripts 45