Remove 2012 Remove APIs Remove Personalization
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Recommend top trending items to your users using the new Amazon Personalize recipe

AWS Machine Learning

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.

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Use Amazon Bedrock tooling with Amazon SageMaker JumpStart models

AWS Machine Learning

Today, we’re excited to announce a new capability that allows you to deploy over 100 open-weight and proprietary models from Amazon SageMaker JumpStart and register them with Amazon Bedrock , allowing you to seamlessly access them through the powerful Amazon Bedrock APIs.

APIs 80
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Automatic image cropping with Amazon Rekognition

AWS Machine Learning

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.

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The IoT Chronicles Part 2: Three Big Security Threats—and How to Solve Them

Avaya

Having said that, here are three massive IoT security threats we’re seeing today (and how to expertly address them): Personally-owned devices: Research shows that about 40% of U.S. Open APIs: An open API model is advantageous in that it allows developers outside of companies to easily access and use APIs to create breakthrough innovations.

APIs 72
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Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

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')

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Deploy a Microsoft Teams gateway for Amazon Q, your business expert

AWS Machine Learning

For Who can use this application or access this API? Choose Select API permissions in the navigation pane. Under Select the scopes in which people can use this command , select Personal , Team , and Group chat. Gary started at Amazon in 2012 as an intern, focusing on building scalable, real-time outlier detection systems.

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Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock

AWS Machine Learning

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.