The Time for AI-Centric Sustainability Metrics is Now
As Artificial Intelligence (AI) continues to revolutionize industries and transform the way we live, a pressing concern has emerged: the environmental impact of AI. With AI adoption accelerating at an unprecedented pace, it's essential that we prioritize a novel approach to measuring and mitigating its ecological footprint – AI-centric sustainability metrics.
Measuring AI's Carbon Footprint as a Service
AI-centric sustainability metrics involve quantifying the environmental impact of AI as a service, enabling organizations to make data-driven decisions and allocate resources efficiently. This approach considers the entire lifecycle of an AI system, from development and deployment to maintenance and retirement. By measuring AI's carbon footprint, organizations can identify areas for improvement and optimize their AI infrastructure to minimize their ecological impact.
*Key Benefits of AI-Centric Sustainability Metrics...
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