
Brief exploration of how VUME.AI integrated the 31 best practices from France's pioneering AFNOR Frugal AI standard to create an environmentally responsible open data platform. This case study demonstrates how a non-profit organization successfully implemented resource-efficient AI systems by prioritizing high-impact, low-effort practices across the entire AI lifecycle - from data collection to model deployment and maintenance.
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