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Generate user-personalized communication with Amazon Personalize and Amazon Bedrock

AWS Machine Learning

Personalized outbound communication can be a powerful tool to increase user engagement and conversion. To achieve this, you can use Amazon Personalize to generate user-personalized recommendations and Amazon Bedrock to generate the text of the email.

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How VistaPrint delivers personalized product recommendations with Amazon Personalize

AWS Machine Learning

For more than two decades, VistaPrint has empowered small businesses to quickly and effectively create the marketing products – from promotional materials and signage to print advertising and more – to get the job done, regardless of whether they operate in-store or online. Transform the data to create Amazon Personalize training data.

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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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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.

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Advance from Personalization to Customer Journey Orchestration

Pointillist

Many CX, marketing and operations leaders are asking how they can use customer journey orchestration to deliver better, more personalized experiences that will improve CX and business outcomes, like retention, customer lifetime value and revenue. Journey orchestration goes beyond traditional personalization techniques.

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How 20 Minutes empowers journalists and boosts audience engagement with generative AI on Amazon Bedrock

AWS Machine Learning

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. As a digital publisher, 20 Minutes is committed to providing a brand-safe environment for potential advertisers.

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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning

Many customers, including those in creative advertising, media and entertainment, ecommerce, and fashion, often need to change the background in a large number of images. The Streamlit web application calls an Amazon API Gateway REST API endpoint integrated with the Amazon Rekognition DetectLabels API , which detects labels for each image.

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