Remove 2023 Remove APIs Remove Personalization
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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 news recommender application with Amazon Personalize

AWS Machine Learning

Delivering personalized news and experiences to readers can help solve this problem, and create more engaging experiences. However, delivering truly personalized recommendations presents several key challenges: Capturing diverse user interests – News can span many topics and even within specific topics, readers can have varied interests.

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Build brand loyalty by recommending actions to your users with Amazon Personalize Next Best Action

AWS Machine Learning

Amazon Personalize is excited to announce the new Next Best Action ( aws-next-best-action ) recipe to help you determine the best actions to suggest to your individual users that will enable you to increase brand loyalty and conversion. All your data is encrypted to be private and secure.

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Elevate Your Skills with Meraki APIs at Cisco Live Melbourne

Cisco - Contact Center

Cisco Live 2023 starts in person on December 5-8, 2023 in Melbourne, Australia at the Melbourne Convention and Exhibition Centre. There is no better place to learn about new trends and technologies.… Read more on Cisco Blogs

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. Personalized search – Web-scale search over heterogeneous content benefits from a hybrid approach. You have the option to override it to use either hybrid or semantic search in the API.

APIs 115
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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. Using metadata filters on work groups, business units, or project IDs, you can personalize the chat experience and improve collaboration. For this post, we enter the query “A strategy game with cool graphic released after 2023.”

APIs 111
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Medical content creation in the age of generative AI

AWS Machine Learning

In step 3, the frontend sends the HTTPS request via the WebSocket API and API gateway and triggers the first Amazon Lambda function. Our generative system allows a high degree of personalization so you can easily tailor and specialize the content to new settings, by simply adjusting the input data. Commun Med 3 , 141 (2023).