AWS News Blog
Category: Events
Amazon SageMaker Model Monitor – Fully Managed Automatic Monitoring For Your Machine Learning Models
Today, we’re extremely happy to announce Amazon SageMaker Model Monitor, a new capability of Amazon SageMaker that automatically monitors machine learning (ML) models in production, and alerts you when data quality issues appear. The first thing I learned when I started working with data is that there is no such thing as paying too much […]
Amazon SageMaker Processing – Fully Managed Data Processing and Model Evaluation
Today, we’re extremely happy to launch Amazon SageMaker Processing, a new capability of Amazon SageMaker that lets you easily run your preprocessing, postprocessing and model evaluation workloads on fully managed infrastructure. Training an accurate machine learning (ML) model requires many different steps, but none is potentially more important than preprocessing your data set, e.g.: Converting […]
Amazon SageMaker Autopilot – Automatically Create High-Quality Machine Learning Models With Full Control And Visibility
Update September 30, 2021 – This post has been edited to remove broken links. Today, we’re extremely happy to launch Amazon SageMaker Autopilot to automatically create the best classification and regression machine learning models, while allowing full control and visibility. In 1959, Arthur Samuel defined machine learning as the ability for computers to learn without being […]
Amazon SageMaker Experiments – Organize, Track And Compare Your Machine Learning Trainings
Today, we’re extremely happy to announce Amazon SageMaker Experiments, a new capability of Amazon SageMaker that lets you organize, track, compare and evaluate machine learning (ML) experiments and model versions. ML is a highly iterative process. During the course of a single project, data scientists and ML engineers routinely train thousands of different models in […]
Now Available on Amazon SageMaker: The Deep Graph Library
Today, we’re happy to announce that the Deep Graph Library, an open source library built for easy implementation of graph neural networks, is now available on Amazon SageMaker. In recent years, Deep learning has taken the world by storm thanks to its uncanny ability to extract elaborate patterns from complex data, such as free-form text, […]
New – Amazon Managed Apache Cassandra Service (MCS)
Managing databases at scale is never easy. One of the options to store, retrieve, and manage large amounts of structured data, including key-value and tabular formats, is Apache Cassandra. With Cassandra, you can use the expressive Cassandra Query Language (CQL) to build applications quickly. However, managing large Cassandra clusters can be difficult and takes a lot of […]
Amazon Redshift Update – Next-Generation Compute Instances and Managed, Analytics-Optimized Storage
We launched Amazon Redshift back in 2012 (Amazon Redshift – The New AWS Data Warehouse). With tens of thousands of customers, it is now the world’s most popular data warehouse. Our customers enjoy consistently fast performance, support for complex queries, and transactional capabilities, all with industry-leading price-performance. The original Redshift model establishes a fairly rigid […]
Easily Manage Shared Data Sets with Amazon S3 Access Points
Storage that is secure, scalable, durable, and highly available is a fundamental component of cloud computing. That’s why Amazon Simple Storage Service (S3) was the first service launched by AWS, back in 2006. It has been a building block of many of the more than 175 services that AWS now offers. As we approach the […]