Remove APIs Remove Entertainment Remove Personalization
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7 Reasons ChatGPT Alone Can’t Deliver the Customer Service You Need

CCNG

Given that integrations and extensibility are basic prerequisites to taking any kind of action, it means ChatGPT can only serve as entertainment or perhaps write your college essay. Unclear ROI ChatGPT is currently not accessible via API and the cost of a (hypythetical) API call are unclear.

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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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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

Furthermore, these notes are usually personal and not stored in a central location, which is a lost opportunity for businesses to learn what does and doesn’t work, as well as how to improve their sales, purchasing, and communication processes. With Lambda integration, we can create a web API with an endpoint to the Lambda function.

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Elevate workforce productivity through seamless personalization in Amazon Q Business

AWS Machine Learning

Personalization can improve the user experience of shopping, entertainment, and news sites by using our past behavior to recommend the products and content that best match our interests. You can also apply personalization to conversational interactions with an AI-powered assistant.

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Elevate your marketing solutions with Amazon Personalize and generative AI

AWS Machine Learning

Research shows that the most impactful communication is personalized—showing the right message to the right user at the right time. According to McKinsey , “71% of consumers expect companies to deliver personalized interactions.” How exactly do Amazon Personalize and Amazon Bedrock work together to achieve this?

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs.

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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning

The transcriptions in OpenSearch are then further enriched with these custom ML models to perform components identification and provide valuable insights such as named entity recognition, speaker role identification, sentiment analysis, and personally identifiable information (PII) redaction.