The Next Decade of Software Is About Climate - What Is the Role of ML?

This session examines how to assess and reduce the carbon impacts of AI systems across their lifecycle. It explains the Software Carbon Intensity specification and discusses practices such as model optimization, time shifting, and efficient deployment.

Syllabus

Introduction
The Age of AI
Bill Gates AMA
Sara Bergman
Agenda
Why Software and Climate
Machine Learning and Climate
Model size is exploding
State of AI
Carbon Footprint
Green Software
Green Software Foundation
Measuring Software
Carbon Efficiency
Quantification
Quantification Methods
Core Characteristics
Net Zero
SEI Score
Machine Learning Climate
Patterns
Life Cycle
Project Planning
Carbon Aware Features
Service Level Objectives
Data Collection
Data Hoarders
Data Green
The Next Phase
Graph
Training Models
Federated Learning
Optimizing Size
Time Shifting
Sustainable Regions
Hardware
Deployment Maintenance
Azure Machine Learning
Variable Power
Hosting Efficiency
Serverless Architecture
AI Models on the Edge
Where to Start
Summary
Free course
Questions
What about software in general
What is the Green Software Foundation doing