AWS Machine Learning Stack Update
What new AWS #MachineLearning Stack services have been added by Amazon Web Services? Here is an update as of December 10 2020:
AI SERVICES
1\ Amazon Healthlake - Store, transform, query, and analyze health data in minutes
2\ AWS Panorama + Appliance – Bring computer vision #CV to on-premises cameras + Appliance runs CV models on multiple video streams
3\ Amazon Monitron – Detect abnormal behavior in industrial machinery
4\ Amazon Lookout for Equipment – Detects abnormal equipment behavior to avoid unplanned downtime and optimize performance
5\ Amazon Lookout for Vision – Provide real time visual inspection of product defects
6\ Amazon Lookout for Metrics – Detect unexpected changes in your metrics to monitor the health of your business
7\ Amazon Devops Guru - Identify anomalous application behavior and surface outage-causing issues
ML SERVICES
1\ SageMaker Data Wrangler - Aggregate and prepare data for ML
2\ SageMaker Feature Store - Store, update, retrieve, and share features
3\ SageMaker Clarify - Detect bias and understand model predictions
4\ SageMaker JumpStart - Pre-built solutions for common use cases
5\ SageMaker Distributed Training - Training for large datasets and models
6\ SageMaker Debugger - Debug and profile training runs
7\ SageMaker Edge Manager - Manage and monitor models on edge devices
8\ SageMaker Pipelines – Orchestrate and automate workflows
FRAMEWORKS & INFRASTRUCTURE
1\ EC2 powered by Habana accelerators - Deliver lowest cost-to-train #DL models
2\ Trainium - Provide the best price performance for training #ML models
OTHER ML
1\ Amazon Redshift ML - Create, train, and deploy SageMaker models using SQL
2\ Amazon Neptune ML - Make easy, fast, and more accurate predictions using graph data with Graph Neural Networks (GNNs)
ABOUT THE AUTHOR
Madhu Raman leads Amazon Web Services Machine Learning Industry Solutions supporting customers across 22 commercial industries addressing intelligent automation needs. He previously headed Verizon Enterprise’s Ideation services worldwide. Madhu is the lead inventor on a number of cloud, edge, and mobility AIML patent grants and lives in Massachusetts.