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In this episode of the Climate Confident podcast, I had the pleasure of speaking with Shravan Kumar, Director of Client Success at Gramener, about the transformative role AI and geospatial data can play in tackling climate challenges. Shravan shared insights into how AI is being utilised to address urban heat islands, predict and mitigate the impacts of natural disasters like floods, and support cities in becoming more climate-resilient.

We delved into real-world examples where Gramener's AI solutions have been successfully implemented in cities, helping local governments optimise resources, create thermally comfortable public spaces, and even adjust energy trading systems. Shravan also discussed the importance of partnerships and the challenges in scaling these solutions globally, particularly in regions with limited resources.

One of the key takeaways from our conversation was the need for accurate, micro-level data to make informed decisions on climate action, as well as the critical role of education and trust in driving adoption of these AI tools. If you're interested in how technology can drive meaningful change in urban environments, this episode is not to be missed.

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Credits
Music credits - Intro by Joseph McDade, and Outro music for this podcast was composed, played, and produced by my daughter Luna Juniper