“ For example , energy-efficient algorithms and infrastructure reduce electricity consumption and associated infrastructure costs . Techniques such as autoscaling and in-place pod resizing in cloud environments minimise resource overprovisioning , reducing waste and lowering cloud service expenses .”
The role of industry leaders and partnerships Tech leaders have a crucial role to play in advancing sustainable AI practices industry-wide . This involves setting industry standards , engaging in policy development , forming crosssector partnerships , and leading by example in transparent reporting of AI ’ s environmental impacts and sustainability efforts .
Saskia highlights the importance of such collaborations : “ Public-private partnerships can facilitate the exchange of key datasets such as weather patterns and energy usage that can be used to train AI models and develop highly advanced predictive risk models . Partnerships across technology companies , public sector and cademic institutions can maximise research and development funding while harnessing the strengths of each organisation .”
And as Karthik emphasises , tech leaders should foster key partnerships with governments , academic
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