Sustainability Magazine October 2024 | Page 194

AI / ML
that the environmental impact is considered from development through deployment . This holistic approach allows companies to identify and address sustainability challenges at every stage of AI development .”
Fostering collaboration within the industry and supporting open-source initiatives can accelerate the development of sustainable AI practices , Vincent highlights : “ Open Source Collaboration supports efficient innovation leveraging open source standards and resources such as open source AI models that are optimised for energy efficiency or open source tooling supporting efficiency throughout the ModelOps lifecycle .”
Beyond making AI itself more sustainable , companies are leveraging AI to address broader environmental challenges . Saskia van Gendt , Chief Sustainability Officer at Blue Yonder , notes : “ AI-enabled supply chains can help businesses to operate responsibly and profitably via reduced waste , more efficient production , smarter transportation strategies , and reduced resource consumption .
“ AI can help identify areas of operational efficiency , for predicting and preventing disruptions , reducing waste and promoting sustainable practices . AI can also improve forecasting climate events to give increased visibility for risks in the supply chain and improve resilience .”
The business case for sustainable AI Contrary to the perception that sustainability initiatives might hinder innovation or profitability , evidence
194 October 2024

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