Policy Document

Climate AI: How AI Can Power Your Climate Strategy

Sai Kiran · 2020-07-15

What it covers

In the past twenty years, there were 7,348 major recorded disaster events claiming 1.23 million lives, affecting 4.2 billion people

Who it helps

Intended audience has not been documented.

Limitations

Source-specific limitations have not been reviewed. Inclusion and topic labels do not establish effectiveness or reliability.

Show citation

Sai Kiran. 2020-07-15. Climate AI: How AI Can Power Your Climate Strategy. https://www.capgemini.com/insights/research-library/climate-ai/ (AI & Environment Resource Hub; record report-003; collection snapshot 2026-10-04).

Classification and context

Included in the original Policy Document collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.

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Available source metadata

Author or creator
Sai Kiran
Publisher
Capegimi Research Institute
Publication date
2020-07-15
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source access
Reachable at last check
Metadata confidence
Required metadata corroborated
Last verified
2026-09-28T20:12:04.561Z
Snapshot import
2026-09-06
Legacy domain
Climate & Weather
Legacy subdomain
Unknown or not supplied

Provenance and review

Source access
Reachable at last check
Metadata confidence
Required metadata corroborated
Editorial relevance
Relevance has not been separately reviewed.
Evidence quality
Evidence quality has not been separately assessed.

Source sheet: Policy Document · Row 7 · Original ID: report-003.

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These are policy resources, not a verified register of enacted laws. Legal status and jurisdiction must be checked at source. Source link reachable · checked 2026-09-28. Source identity and required metadata verified. The import date is not the original date added.

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Newsletter appearances

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Related through shared environmental topics

Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.

Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation

Policy Document · 2024-12-01

2024 Climate Risk Landscape Report

Open the record to view the available source metadata.

Source: UNEPReachable at last check · Required metadata corroborated

Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation

Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation

Scientific Paper · 2025-05-21

A Foundation Model for the Earth System

Aurora is a large-scale AI foundation model that significantly outperforms traditional forecasting systems across multiple Earth system domains, like air quality and cyclone tracking, while using far less computational power, marking a major advancement in accessible, efficient environmental prediction.

Source: NatureReachable at last check · Metadata unconfirmed

Shared topics: Climate and greenhouse gases; Weather, hazards, and adaptation