New biodiversity and ecosystem reporting frameworks require companies to collect data on multifaceted impacts on complex ecological systems over space and time while offering them limited guidance on how to do so. Artificial Intelligence (AI) and Earth Observation (EO) are powerful tools that can help make this reporting efficient and actionable. However, before companies can fulfill their crucially important role in improving the state of nature, they will need guidance from the scientific community to identify meaningful yet scalable metrics for data collection, responsibly apply AI-enabled EO to reporting workflows, and empower the reporting workforce.<\/p>\n","protected":false},"excerpt":{"rendered":"
New biodiversity and ecosystem reporting frameworks require companies to collect data on multifaceted impacts on complex ecological systems over space and time while offering them limited guidance on how to do so. Artificial Intelligence (AI) and Earth Observation (EO) are powerful tools that can help make this reporting efficient and actionable. 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