Generative Data Intelligence

Tag: AWS Machine Learning

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...

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

This is a guest blog post cowritten with athenahealth. athenahealth a leading provider of network-enabled software and services...

Transfer learning for TensorFlow image classification models in Amazon SageMaker

Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get...

Improve transcription accuracy of customer-agent calls with custom vocabulary in Amazon Transcribe

Many AWS customers have been successfully using Amazon Transcribe to accurately, efficiently, and automatically convert their customer audio conversations to text, and extract actionable...

Detect audio events with Amazon Rekognition

When most people think of using machine learning (ML) with audio data, the use case that usually comes to mind is transcription, also known...

How The Chefz serves the perfect meal with Amazon Personalize

This is a guest post by Ramzi Alqrainy, Chief Technology Officer, The Chefz. The Chefz is a...

Distributed training with Amazon EKS and Torch Distributed Elastic

Distributed deep learning model training is becoming increasingly important as data sizes are growing in many industries. Many applications in computer vision and natural...

Learn How Amazon SageMaker Clarify Helps Detect Bias

Bias detection in data and model outcomes is a fundamental requirement for building responsible artificial intelligence (AI) and machine learning (ML) models. Unfortunately, detecting...

Create a batch recommendation pipeline using Amazon Personalize with no code

With personalized content more likely to drive customer engagement, businesses continuously seek to provide tailored content based on their customer’s profile and behavior. Recommendation...

Explore Amazon SageMaker Data Wrangler capabilities with sample datasets

Data preparation is the process of collecting, cleaning, and transforming raw data to make it suitable for insight extraction through machine learning (ML) and...

Run image segmentation with Amazon SageMaker JumpStart

In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get...

Process mortgage documents with intelligent document processing using Amazon Textract and Amazon Comprehend

Organizations in the lending and mortgage industry process thousands of documents on a daily basis. From a new mortgage application to mortgage refinance, these...

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