AWS Supports You | Optimizing AI/ML Workloads for Sustainability

Published on 20 Jun 2022, 20:23
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AWS Supports You: Optimizing AI/ML Workloads for Sustainability gives viewers on the channel an overview of the role of AI and Machine Learning in Sustainability challenges, how to optimize ML workloads for Sustainability, optimizing along the ML lifecycle, and more! This series showcases best practices and troubleshooting tips from AWS Support. This episode originally aired on June 20th, 2022.

Intro: 0:00
The Role of AI/ML in Sustainability Challenges 3:20
Optimizing for Sustainability in the Cloud 11:00
Optimizing Along the ML Lifecycle 22:51
Call to Action 43:25
Thanks for Watching 48:53

Helpful Links:
Making Sustainable Decisions In the Cloud -

Optimizing Your AWS Architectures for Sustainability -

Saildrone Explores the Oceans with Machine Learning -

NET2GRID Drives Transition to Green Energy, Builds Utility Monitoring Solution on AWS -

The Carbon Reduction Opportunity of Moving to the Cloud for APAC -

The shared responsibility model -

AWS Well-Architected -

The 6 Pillars of the AWS Well-Architected Framework -

Sustainability Pillar -

Region selection -

Optimize AI/ML workloads for sustainability: Part 1, identify business goals, validate ML use, and process data -

Optimize AI/ML workloads for sustainability: Part 3, deployment and monitoring -

ML lifecycle phase — ML problem framing -

ML lifecycle phase – Model development -

Monitoring in-production ML models at large scale using Amazon SageMaker Model Monitor -

Monitoring a Model in Production -

More AWS videos -
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