The customer data platform provides a central place to collect first party information about customers, but simply having a pile of data is not the point. Companies want to put […]
Amazon Sagemaker
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Back to news homeOrganize product data to your taxonomy with Amazon SageMaker
When companies deal with data that comes from various sources or the collection of this data has changed over time, the data often becomes difficult to organize. Perhaps you have […]
Train and deploy deep learning models using JAX with Amazon SageMaker
Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at any scale. Typically, you […]
Detect defects in automotive parts with Amazon Lookout for Vision and Amazon SageMaker
According to a recent study, defective products cost industries over $2 billion from 2012–2017. Defect detection within manufacturing is an important business use case, especially in high-value product industries like […]
Build a system for catching adverse events in real-time using Amazon SageMaker and Amazon QuickSight
Social media platforms provide a channel of communication for consumers to talk about various products, including the medications they take. For pharmaceutical companies, monitoring and effectively tracking product performance provides […]
Create Amazon SageMaker projects with image building CI/CD pipelines
Amazon SageMaker projects are AWS Service Catalog provisioned products that enable you to easily create end-to-end machine learning (ML) solutions. SageMaker projects give organizations the ability to use templates that […]
Use pre-trained financial language models for transfer learning in Amazon SageMaker JumpStart
Starting today, we’re releasing new tools for multimodal financial analysis within Amazon SageMaker JumpStart. SageMaker JumpStart helps you quickly and easily get started with machine learning (ML). It provides a […]
Ounass increases its revenue using Amazon SageMaker with a Word2vec based recommender system
Based in Dubai, Ounass is the Middle East’s leading ecommerce platform for luxury goods. Scouring the globe for leading trends, Ounass’s expert team reports on the latest fashion updates, coveted […]
Customize Amazon SageMaker Studio using Lifecycle Configurations
Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. It provides all the […]
Model and data lineage in machine learning experimentation
Modern quantitative finance is based around the approach of pattern recognition in historical data. This approach requires teams of scientists to work in a collaborative and regulated setting in order […]