AI & Environment Resource HubBright Tide · 2025-06-26
The full film celebrating the recent Bright Tide Sustain.AI accelerator programme in collaboration with Hogan Lovells (HL BaSE), featuring our Sustain.AI Ambassador, Lord Ranger, alongside several of the innovative ventures (Gamaya, Synature and Ecodetect) from the cohort. Sustain.AI is designed to empower the next generation of entrepreneurs harnessing artificial intelligence for positive environmental impact—from biodiversity monitoring and regenerative agriculture to climate resilience and nature restoration.
Bright Tide. 2025-06-26. Sustain AI: Powering Sustainable Futures with AI. https://www.youtube.com/watch?v=Eyvc4iGE75E (AI & Environment Resource Hub; record video-120; collection snapshot 2026-09-15).
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Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Biodiversity and ecosystems; Weather, hazards, and adaptation
This article examines how advanced digitalization and AI can enhance spatial energy planning and environmental assessments in Austria, offering solutions to data deficiencies that currently hinder biodiversity-friendly renewable energy transitions.
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Biodiversity and ecosystems; Weather, hazards, and adaptation
The climate crisis often leaves us feeling powerless, creating a cycle of inaction that worsens the situation. While the knowledge and solutions to transition exist, gaps in policy and action hold us back. Isabell Steidel shares an example of planting trees to inspire climate action, only for systemic resistance to lead to failure, showing how the environment pays the price for inaction. Isabell Steidel is a Sustainability Advisor and Founder driving socio-ecological transformation in Heilbronn.
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Biodiversity and ecosystems; Weather, hazards, and adaptation
This course will help you understand AI's climate implications and identify practical next steps within your organization. The course begins with demystifying the connection between AI, Large Language Models (LLMs), data centers, and energy and water demand. Then you will learn about AI's environmental footprint, the related environmental and community impacts, you will evaluate real-world applications of AI across climate adaptation, energy transition, and nature conservation, and understand the business and policy landscape shaping corporate decisions.
Shared topics: Cross-cutting sustainability; Energy and electricity; Climate and greenhouse gases; Weather, hazards, and adaptation
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