LeMagIT(France) AI: a certain awareness of the consequences on the environment

Businesses can get carried away with the idea that they need an advanced deep learning system that can do it all, according to Alan Pelz-Sharpe. However, if they want to tackle a targeted use case, like automating an invoicing process, they don’t need an advanced system. These systems are expensive and use a lot of data, which means they have a high carbon footprint.

A specialized system will have been trained on a much smaller amount of data while still being capable of fulfilling a specific use case just as well as a more general system.

“Because it is highly specialized, this AI has been trained on the most precise data possible” while keeping a small set of data, says Alan Pelz-Sharpe. A deep learning model , on the other hand, has to stir up massive amounts of data to achieve anything.