In 2019, Amazon co-founded the climate pledge. The pledge’s goal is to achieve net zero carbon by 2040. This is 10 years earlier than the Paris agreement outlines. Companies who sign up are committed to regular reporting, carbon elimination, and credible offsets. At the time of this writing, 377 companies have signed the climate pledge, and the number is still growing.
Because AWS is committed to helping you achieve your net zero goal through cloud solutions and machine learning (ML), many projects have already been developed and deployed that reduce carbon emissions. Manufacturing is one of the industries that can benefit greatly from such projects. Through optimized energy management of machines in manufacturing factories, such as compressors or chillers, companies can reduce their carbon footprint with ML.
Effectively transitioning from an ML experimentation phase to production is challenging. Automating model training and retraining, having a model registry, and tracking experiments

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