Generative Data Intelligence

Tag: AWS Machine Learning

Read webpages and highlight content using Amazon Polly

In this post, we demonstrate how to use Amazon Polly—a leading cloud service that converts text into lifelike speech—to read the content of a...

Use Amazon SageMaker Data Wrangler for data preparation and Studio Labs to learn and experiment with ML

Amazon SageMaker Studio Lab is a free machine learning (ML) development environment based on open-source JupyterLab for anyone to learn and experiment with ML...

Announcing Visual Conversation Builder for Amazon Lex

Amazon Lex is a service for building conversational interfaces using voice and text. Amazon Lex provides high-quality speech recognition and language understanding capabilities. With...

Get better insight from reviews using Amazon Comprehend

“85% of buyers trust online reviews as much as a personal recommendation” – Gartner Consumers are increasingly...

Prepare data at scale in Amazon SageMaker Studio using serverless AWS Glue interactive sessions

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you...

Save the date: Join AWS at NVIDIA GTC, September 19–22

Register free for NVIDIA GTC to learn from experts on how AI and the evolution of the 3D internet are profoundly impacting industries—and society...

How Medidata used Amazon SageMaker asynchronous inference to accelerate ML inference predictions up to 30 times faster

This post is co-written with Rajnish Jain, Priyanka Kulkarni and Daniel Johnson from Medidata. Medidata is leading...

Deploy large models on Amazon SageMaker using DJLServing and DeepSpeed model parallel inference

The last few years have seen rapid development in the field of natural language processing (NLP). Although hardware has improved, such as with the...

Tips to improve your Amazon Rekognition Custom Labels model

In this post, we discuss best practices to improve the performance of your computer vision models using Amazon Rekognition Custom Labels. Rekognition Custom Labels is...

Use ADFS OIDC as the IdP for an Amazon SageMaker Ground Truth private workforce

To train a machine learning (ML) model, you need a large, high-quality, labeled dataset. Amazon SageMaker Ground Truth helps you build high-quality training datasets...

How Amp on Amazon used data to increase customer engagement, Part 2: Building a personalized show recommendation platform using Amazon SageMaker

Amp is a new live radio app from Amazon. With Amp, you can host your own radio show and play songs from the Amazon...

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

Amp, the new live radio app from Amazon, is a reinvention of radio featuring human-curated live audio shows. It’s designed to provide a seamless...

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