Amazon Web Services News

• 

  New – Amazon SageMaker Pipelines Brings DevOps Capabilities to your Machine Learning Projects
  • giraffelife  

  1
  1
  Posts
  13
  Views

  

  Today, I’m extremely happy to announce Amazon SageMaker Pipelines, a new capability of Amazon SageMaker that makes it easy for data scientists and engineers to build, automate, and scale end to end machine learning pipelines. Machine learning (ML) is intrinsically experimental and unpredictable in nature. You spend days or weeks exploring and processing data in […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/2vzvUxqt1aM/
• 

  Introducing Amazon SageMaker Data Wrangler, a Visual Interface to Prepare Data for Machine Learning
  • giraffelife  

  1
  1
  Posts
  15
  Views

  

  Today, I’m extremely happy to announce Amazon SageMaker Data Wrangler, a new capability of Amazon 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 […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/cRD8dXhc0Gc/
• 

  New – Store, Discover, and Share Machine Learning Features with Amazon SageMaker Feature Store
  • giraffelife  

  1
  1
  Posts
  16
  Views

  

  Today, I’m extremely happy to announce Amazon SageMaker Feature Store, a new capability of Amazon 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) […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/rdbYYcQ7KXY/
• 

  Amazon HealthLake Stores, Transforms, and Analyzes Health Data in the Cloud
  • giraffelife  

  1
  1
  Posts
  13
  Views

  

  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, […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/LDsYfzIH4lU/
• 

  Preview: Amazon Lookout for Metrics, an Anomaly Detection Service for Monitoring the Health of Your Business
  • giraffelife  

  1
  1
  Posts
  11
  Views

  

  We are excited to announce Amazon 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 Amazon to […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/NZ0tQxBkYjI/
• 

  Amazon SageMaker Edge Manager Simplifies Operating Machine Learning Models on Edge Devices
  • giraffelife  

  1
  1
  Posts
  11
  Views

  

  Today, I’m extremely happy to announce Amazon SageMaker Edge Manager, a new capability of Amazon 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, […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/g9y2R1-8DV4/
• 

  New – Amazon SageMaker Clarify Detects Bias and Increases the Transparency of Machine Learning Models
  • giraffelife  

  1
  1
  Posts
  16
  Views

  

  Today, I’m extremely happy to announce Amazon SageMaker Clarify, a new capability of Amazon 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 […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/MSFZkgCQSeg/
• 

  New – Profile Your Machine Learning Training Jobs With Amazon SageMaker Debugger
  • giraffelife  

  1
  1
  Posts
  10
  Views

  

  Today, I’m extremely happy to announce that Amazon 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 […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/ByH8ws-4tAo/
• 

  New – Managed Data Parallelism in Amazon SageMaker Simplifies Training on Large Datasets
  • giraffelife  

  1
  1
  Posts
  17
  Views

  

  Today, I’m particularly happy to announce that Amazon 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 […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/jK_D_bsKGAY/
• 

  Amazon SageMaker Simplifies Training Deep Learning Models With Billions of Parameters
  • giraffelife  

  1
  1
  Posts
  15
  Views

  

  Today, I’m extremely happy to announce that Amazon SageMaker simplifies the training of very large deep learning models that were previously difficult to train due to hardware limitations. In the last 10 years, a subset of machine learning named deep learning (DL) has taken the world by storm. Based on neural networks, DL algorithms have […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/jCSqTHtcwC8/
• 

  In the Works – AWS Region in Melbourne, Australia
  • giraffelife  

  1
  1
  Posts
  10
  Views

  

  We launched new AWS Regions in Italy and South Africa in 2020, and are working on regions in Indonesia, Japan, Spain, India, and Switzerland. Melbourne, Australia in 2020 Today I am happy to announce that the Asia Pacific (Melbourne) region is in the works, and will open in the second half of 2022 with three […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/5BPxmsSvuAs/
• 

  re:Invent 2020 Liveblog: Machine Learning Keynote
  • giraffelife  

  1
  1
  Posts
  12
  Views

  

  Follow along as AWS Chief Evangelist Jeff Barr and Developer Advocates Martin Beeby and Steve Roberts liveblog the first-ever Machine Learning Keynote. Swami Sivasubramanian, VP of Amazon ML/AI will share the latest developments and launches in AWS machine learning, as well as demos of new technology, and insights from customers. Join us here from 7:45-10 […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/-21y0thA0nc/
• 

  Using Amazon CloudWatch Lambda Insights to Improve Operational Visibility
  • giraffelife  

  1
  1
  Posts
  14
  Views

  

  To balance costs, while at the same time ensuring the service levels needed to meet business requirements are met, some customers elect to continuously monitor and optimize their AWS Lambda functions. They collect and analyze metrics and logs to monitor performance, and to isolate errors for troubleshooting purposes. Additionally, they also seek to right-size function […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/u0BBp1PqidE/
• 

  New – Fully Serverless Batch Computing with AWS Batch Support for AWS Fargate
  • giraffelife  

  1
  1
  Posts
  19
  Views

  

  We launched AWS Batch on December 2016 as a fully managed batch computing service that enables developers, scientists and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. With AWS Batch, you no longer need to install and manage batch computing software or server clusters to run your jobs. […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/7ggkrdB5oso/
• 

  New – SaaS Lens in AWS Well-Architected Tool
  • giraffelife  

  1
  1
  Posts
  46
  Views

  

  To help you build secure, high-performing, resilient, and efficient solutions on AWS, in 2015 we publicly launched the AWS Well-Architected Framework. It started as a single whitepaper but has expanded to include domain-specific lenses, hands-on labs, and the AWS Well-Architected Tool (available at no cost in the AWS Management Console) that provides a mechanism for […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/ZP499ejUGqU/
• 

  AWS Marketplace Now Offers Professional Services
  • giraffelife  

  1
  1
  Posts
  11
  Views

  

  Now with AWS Marketplace, customers can not only find and buy third-party software but also the professional services needed to support the full lifecycle of those products, including planning, deployment and support. This simplifies the software supply chain including tasks like managing provider relationships and procurement processes and also consolidates billing and invoices in one […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/gt5SiA4pNPo/
• 

  Managed Entitlements in AWS License Manager Streamlines License Tracking and Distribution for Customers and ISVs
  • giraffelife  

  1
  1
  Posts
  11
  Views

  

  AWS License Manager is a service that helps you easily manage software licenses from vendors such as Microsoft, SAP, Oracle, and IBM across your Amazon Web Services (AWS) and on-premises environments. You can define rules based on your licensing agreements to prevent license violations, such as using more licenses than are available. You can set […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/F0k2eUIKU-k/
• 

  re:Invent 2020 Liveblog: Partner Keynote
  • giraffelife  

  1
  1
  Posts
  15
  Views

  

  Join us Thursday, Dec. 3, from 7:45-9:30 a.m., for the AWS Partner Keynote with Doug Yeum, head of Worldwide Channels and Alliances; Sandy Carter, vice president, Global Public Sector Partners and Programs; and Dave McCann, vice president, AWS Migration, Marketplace, and Control Services. Developer Advocates Steve Roberts and Martin Beeby will be liveblogging all the […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/s3aogjLwUtk/
• 

  Amazon S3 Update – Strong Read-After-Write Consistency
  • giraffelife  

  1
  1
  Posts
  26
  Views

  

  When we launched S3 back in 2006, I discussed its virtually unlimited capacity (“…easily store any number of blocks…”), the fact that it was designed to provide 99.99% availability, and that it offered durable storage, with data transparently stored in multiple locations. Since that launch, our customers have used S3 in an amazing diverse set […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/Z-e951MIPQ4/
• 

  New – Amazon S3 Replication Adds Support for Multiple Destination Buckets
  • giraffelife  

  1
  1
  Posts
  36
  Views

  

  Amazon Simple Storage Service (S3) supports many types of replication, including S3 Same-Region Replication (SRR), which launched in 2019 and S3 Cross-Region Replication (CRR), which has been around since 2015. Today, we are happy to announce S3 Replication support for multiple destination buckets. S3 Replication now gives you the ability to replicate data from one […]
  
  http://feedproxy.google.com/~r/AmazonWebServicesBlog/~3/ux2QbfIOuZo/