2012 APIs Personalization 
AWS Machine Learning
MARCH 30, 2023
Amazon Personalize is excited to announce the new Trending-Now recipe to help you recommend items gaining popularity at the fastest pace among your users. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users.
AWS Machine Learning
OCTOBER 1, 2024
Whether you’re a person with a motor disability, juggling multiple tasks, or simply away from your computer, getting search results without typing is a valuable feature. This chatbot is designed to assist users with various tasks, provide information, and offer personalized support based on their unique requirements.
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AWS Machine Learning
OCTOBER 11, 2024
Generative AI is used in various use cases, such as content creation, personalization, intelligent assistants, questions and answers, summarization, automation, cost-efficiencies, productivity improvement assistants, customization, innovation, and more.
AWS Machine Learning
APRIL 5, 2023
Amazon Rekognition makes it easy to add this capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.
AWS Machine Learning
JULY 2, 2024
With metadata filters on work groups and a privilege level (for example Limited , Standard , or Admin ) derived from their SSO authentication, you can enforce data security while personalizing the chat experience to streamline a user’s work and collaboration with others. import boto3 import json bedrock_agent = boto3.client('bedrock-agent-runtime')
JivoChat
AUGUST 7, 2023
Brevo Overview In 2012, Sendinblue was launched as a newsletter service, along the years the company has expanded its service considerably, which led to the name change, as well, Brevo. Brevo has an email design editor that enables you to use pre-built templates and personalize your emails as wish.
AWS Machine Learning
OCTOBER 17, 2024
This scenario offers the following benefits: Individual data storage and analysis – Users can store their personal datasets, models, and other files in their private spaces, allowing them to work on their own projects independently. You should have an AWS CloudTrail log file that logs the SageMaker API CreateUserProfile.
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