The availability and accessibility of data for training AI models is identified as a crucial barrier to realizing the full potential of AI in climate change mitigation, as highlighted in the AI for Climate Change Mitigation podcast episode.

The #17 Geospatial Analytics for the Masses with CARTO podcast also emphasizes improving data discovery, acquisition, and preparation for spatial analysis as a major bottleneck and area of focus.

Addressing data accessibility challenges is essential for leveraging AI and geospatial analytics to transform climate change mitigation across various sectors, including energy systems, emissions monitoring, materials innovation, and agriculture.