AWS Machine Learning Stack Update
AWS ML Stack, (C) 2020 Amazon Web Services , Inc or its Affiliates

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 + ApplianceBring computer vision #CV to on-premises cameras + Appliance runs CV models on multiple video streams

3\ Amazon MonitronDetect abnormal behavior in industrial machinery

4\ Amazon Lookout for EquipmentDetects abnormal equipment behavior to avoid unplanned downtime and optimize performance

5\ Amazon Lookout for VisionProvide real time visual inspection of product defects

6\ Amazon Lookout for MetricsDetect 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 PipelinesOrchestrate 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

No alt text provided for this image

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.


要查看或添加评论,请登录

Madhu Raman的更多文章

  • Agentic AI: Transforming Enterprise Automation Beyond Simple Productivity Gains

    Agentic AI: Transforming Enterprise Automation Beyond Simple Productivity Gains

    Disclaimer: Views expressed in this article are personal and are not the opinions of my employer, Amazon Web Services…

    2 条评论
  • AI Agent Security for Automation Executives

    AI Agent Security for Automation Executives

    The Dawn of Autonomous Enterprise. For enterprise automation, Day 1 of the AI agent revolution is unfolding, and with…

    2 条评论
  • AI/Machine Learning and forecasting

    AI/Machine Learning and forecasting

    This article is about Amazon Forecast a fully-managed time series forecasting service that helps customers leverage…

  • AI/Machine Learning and contextual personalization

    AI/Machine Learning and contextual personalization

    This article introduces Amazon Personalize a fully-managed Machine Learning service that supports use cases that…

  • Deploy Intelligent Robotic Applications

    Deploy Intelligent Robotic Applications

    Some of you reached out in response to my post about Amazon Web Services announcing AWS RoboMaker at re:Invent. The…

    1 条评论
  • Custom Natural Language Processing

    Custom Natural Language Processing

    Without Machine Learning skills you can use Natural Language Processing and use custom entities and classification on…

  • AI, Machine Learning, and IoT

    AI, Machine Learning, and IoT

    The intersection of AI, Machine Learning, and IoT presents new opportunities to create value for your business…

  • AI/Machine Learning And Data Pipelines

    AI/Machine Learning And Data Pipelines

    Data Pipelines are the arteries that bring fresh and cleansed data to your AI/Machine Learning engine's heart. If you…

  • AI/Machine Learning And Facial Micro-Expression Detection

    AI/Machine Learning And Facial Micro-Expression Detection

    The use of AI/Machine Learning in Affective computing--systems that can recognize, detect, and respond to human…

  • Top 5 AI/Machine Learning Capability Gaps

    Top 5 AI/Machine Learning Capability Gaps

    McKinsey & Company Michael Chui, James Manyika, and Mehdi Miremadi have written a very topical article on AI/Machine…

    1 条评论

社区洞察

其他会员也浏览了