Build a more sustainable AI strategy

AI is big business. But it’s also having a big effect on our carbon emissions: The storage, cooling, and processing power required to train a large language model can produce as much CO2 as driving over a million miles in a family car. This article explores sustainable AI, and how making strategic decisions early in the design process – as well as proper data management – can help save your enterprise a fortune, and potentially reduce CO2 emissions.

Key takeaways:

Plan your cost and benefits to make sure you get the most out of your investment.

Combine software engineering and data science principles for repeatability, efficiency, and simplicity.

Start with an in-depth understanding of the data you’re using.

Tune your AI models with tools and techniques for efficiency.

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