AI & Environment Resource HubKetan Joshi · Publication date unknown
Explore a curated dataset maintained by Ketan Joshi about Big Tech's emissions and energy data.
Ketan Joshi. Date unknown. Data Collection Bank of Big Tech Emissions and Energy. https://ketanjoshi.co/2025/05/23/data-collection-big-tech-emissions-energy/ (AI & Environment Resource Hub; record atlas-ffcc8d9454cd; collection snapshot 2026-09-15).
Included in the original Tool collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
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Shared topics: Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure; Transport and logistics
By the end of this course, you will be able to explain how data centers power AI‑driven decarbonization across the global economy and why sustainable digital infrastructure is foundational to achieving net‑zero goals. You will learn how AI, enabled by cloud and edge data centers, supports clean energy grids, optimizes buildings and manufacturing operations, and accelerates electrified, efficient transportation systems
Shared topics: Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure; Transport and logistics
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Shared topics: Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure; Transport and logistics
An interactive dashboard by Rooted Futures Lab tracking the environmental impact of data centers across water, energy, and emissions metrics.
Shared topics: Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure; Transport and logistics
This study shows that AI-driven transportation systems can significantly reduce urban carbon emissions and improve energy efficiency by optimizing routes, easing congestion, and enhancing public transit, while offering policy guidance for sustainable implementation.