Climate change, pollution, and illegal harvesting endanger the health of forests and oceans worldwide. AWS customers are addressing these challenges by using large sets of natural resource data and AWS artificial intelligence and machine learning (AI/ML) services at the edge. As data increases in complexity and scale, optimization is essential to reducing the environmental impact of ML processing while accelerating analysis, modeling, and simulation. In this session, learn how organizations use AI/ML to predict and respond to environmental threats, and take away practical measures you can deploy to reduce the carbon footprint of your models at all steps of the ML lifecycle.

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#reInvent2022 #AWSreInvent2022 #AWSEvents

• AWS re:Invent 2022 - Sustainable machine learning for protecting natural resources (SUS301) ( Download)
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