Amazon SageMaker

• Mocagon: Data-Execution area, Internet scope [AWS Poster]

• Full-name: Amazon SageMaker

• Short-name: Amazon SageMaker

• Provides: ML IDE

• Resource: notebook-instance

• Year: 2017

• Home: https://aws.amazon.com/sagemaker/

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• 2021/03/26: Amazon SageMaker now supports private Docker registry authentication

• 2021/03/23: Leverage state of the art Natural Language Processing with Hugging Face and Amazon SageMaker

• 2021/03/17: New AWS SSO gallery app simplifies Azure AD set-up with AWS

• 2021/03/16: Announcing support for multiple containers on Amazon SageMaker Inference endpoints, leading to cost savings of up to 80%

• 2021/02/19: Now create Amazon SageMaker Studio presigned URL with custom expiration time

• 2021/02/18: Updated digital training for AWS Partners on End User Computing and Machine Learning

• 2021/02/17: Amazon ml.Inf1 instances are now available on Amazon SageMaker in 14 additional AWS regions

• 2021/02/12: Now Launch Amazon SageMaker Studio using AWS CloudFormation

• 2021/02/09: AWS DeepComposer launches Transformer Notebook on GitHub

• 2021/02/08: New AWS Solutions Consulting Offer - AI-Powered Inventory Management

• 2021/02/05: AWS Solutions Implementation - AWS MLOps Framework adds a model monitoring pipeline for customers to take remedial action when there are deviations in model quality

• 2021/01/27: Amazon Timestream can now be used for workloads subject to HIPAA, ISO, and PCI DSS

• 2021/01/06: AWS Step Functions adds support for AWS Glue DataBrew jobs to prepare data in analytics and machine learning workflows

• 2020/12/21: Now launch Amazon SageMaker Studio Notebooks backed by Spark in Amazon EMR

• 2020/12/18: Amazon SageMaker Autopilot adds Deep Learning Models

• 2020/12/17: Introducing Amazon SageMaker ml.P4d instances for highest performance ML training in the cloud

• 2020/12/15: Introducing AWS IoT EduKit

• 2020/12/14: Now Secure Your SageMaker Studio Access Using AWS PrivateLink and AWS IAM SourceIP Restrictions

• 2020/12/08: Amazon announces Amazon Neptune ML: easy, fast, and accurate predictions for graphs

• 2020/12/08: Amazon SageMaker Model Monitor now supports new capabilities to maintain model quality in production

• 2020/12/08: Announcing new capabilities for Amazon SageMaker Debugger with real-time monitoring of system resources and profiling training jobs

• 2020/12/08: AWS announces Amazon Redshift ML (preview)

• 2020/12/08: AWS introduces Amazon SageMaker Edge Manager - Model Management for Edge Devices

• 2020/12/08: Detect bias in ML models and explain model behavior with Amazon SageMaker Clarify

• 2020/12/08: Introducing Amazon HealthLake to make sense of health data

• 2020/12/08: Introducing Amazon SageMaker Data Wrangler – The fastest and easiest way to prepare data for machine learning

• 2020/12/08: Introducing Amazon SageMaker Feature Store - a fully managed repository to store, discover, share and serve machine learning features

• 2020/12/08: Introducing Amazon SageMaker JumpStart – Easily and quickly bring machine learning applications to market

• 2020/12/08: Introducing Amazon SageMaker Pipelines, first purpose built CI/CD service for machine learning

• 2020/12/08: Two new libraries for distributed training on Amazon SageMaker