AWS News Blog
Category: Artificial Intelligence
Introducing HAQM SageMaker Data Wrangler, a Visual Interface to Prepare Data for Machine Learning
Today, I’m extremely happy to announce HAQM SageMaker Data Wrangler, a new capability of HAQM SageMaker that makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications by using a visual interface. Whenever I ask a group of data scientists and ML engineers how much time they actually spend […]
New – Store, Discover, and Share Machine Learning Features with HAQM SageMaker Feature Store
Today, I’m extremely happy to announce HAQM SageMaker Feature Store, a new capability of HAQM SageMaker that makes it easy for data scientists and machine learning engineers to securely store, discover and share curated data used in training and prediction workflows. For all the importance of selecting the right algorithm to train machine learning (ML) […]
HAQM HealthLake Stores, Transforms, and Analyzes Health Data in the Cloud
Healthcare organizations collect vast amounts of patient information every day, from family history and clinical observations to diagnoses and medications. They use all this data to try to compile a complete picture of a patient’s health information in order to provide better healthcare services. Currently, this data is distributed across various systems (electronic medical records, […]
Preview: HAQM Lookout for Metrics, an Anomaly Detection Service for Monitoring the Health of Your Business
We are excited to announce HAQM Lookout for Metrics, a new service that uses machine learning (ML) to detect anomalies in your metrics, helping you proactively monitor the health of your business, diagnose issues, and find opportunities quickly – with no ML experience required. Lookout for Metrics uses the same technology used by HAQM to […]
HAQM SageMaker Edge Manager Simplifies Operating Machine Learning Models on Edge Devices
Today, I’m extremely happy to announce HAQM SageMaker Edge Manager, a new capability of HAQM SageMaker that makes it easier to optimize, secure, monitor, and maintain machine learning models on a fleet of edge devices. Edge computing is certainly one of the most exciting developments in information technology. Indeed, thanks to continued advances in compute, […]
New – HAQM SageMaker Clarify Detects Bias and Increases the Transparency of Machine Learning Models
Today, I’m extremely happy to announce HAQM SageMaker Clarify, a new capability of HAQM SageMaker that helps customers detect bias in machine learning (ML) models, and increase transparency by helping explain model behavior to stakeholders and customers. As ML models are built by training algorithms that learn statistical patterns present in datasets, several questions immediately […]
New – Profile Your Machine Learning Training Jobs With HAQM SageMaker Debugger
Today, I’m extremely happy to announce that HAQM SageMaker Debugger can now profile machine learning models, making it much easier to identify and fix training issues caused by hardware resource usage. Despite its impressive performance on a wide range of business problems, machine learning (ML) remains a bit of a mysterious topic. Getting things right […]
New – Data Parallelism Library in HAQM SageMaker Simplifies Training on Large Datasets
Today, I’m particularly happy to announce that HAQM SageMaker now supports a new data parallelism library that makes it easier to train models on datasets that may be as large as hundreds or thousands of gigabytes. As data sets and models grow larger and more sophisticated, machine learning (ML) practitioners working on large distributed training […]