AI Earth: AI for Sustainable Energy Resources

Wednesday 25th Jun 2025 @ BST 10:00 - 11:00

Zoom | UK

Discover how AI is driving innovation in sustainable energy, optimising resource use, and combating climate change through actionable solutions.

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About the event

Explore how AI is revolutionising sustainable energy and resource management to combat climate change. This session delves into the innovative ways AI is driving efficiency, optimising resource use, and delivering actionable solutions for a more sustainable future.

Join us to uncover how AI technologies are transforming energy systems, enhancing renewable energy integration, and enabling smarter resource allocation. Gain insights into the role of AI in tackling environmental challenges and creating data-driven strategies for sustainability.

We will discuss cutting-edge advancements in AI for energy forecasting, environmental monitoring, and circular economy models, highlighting their implications for reducing waste and achieving carbon neutrality. Join us to explore how AI is shaping a greener, more sustainable planet.

Join this session to:

  • Discover how AI is being applied to optimise renewable energy systems, reduce waste, and combat climate change.
  • Explore real-world examples of AI driving innovation in sustainable resource management and environmental conservation.
  • Learn how AI technologies are enabling smarter, more efficient energy use and advancing sustainability goals.
  • Hear from leading AI researchers, environmental scientists, and industry professionals as they share insights into AI-driven solutions for a sustainable future.

What is a DLF event

The Digital Leadership Forum is a membership community of innovative digital leaders from some of the world’s leading organisations including HSBC, GSK, BT, BDO, Pinsent Masons, Freshfields, G4S and many more

We run sessions for our members online and face-to-face on Digital Marketing; Analytics and Automation; Digital Customer Experience, Agility; Metaverse, ChatGPT and Generative AI; Data Ethics.