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What can companies and individuals do to slow down or even reduce the appetite for more resources?
But private companies with their own large cloud infrastructure are also in the same dilemma.
Their AI is trained with their own data to make it offercustomersintelligent services or deliver software-driven offers.
Tesla’s large AI project on autonomous driving may be the most popular of these projects.
It’s likeChatGPT, but for cars, said Dhaval Shroff, describing the approach.
He is a member of the autopilot team at the manufacturer.
The aim of the Green Deal is to make Europe climate neutral by 2050.
The International Energy Agency says that emissions from data centres worldwide need to be at least halved by 2030.
This was before the sudden expansion of AI started to push compute and data volume.
Data center owners need to take both challenges seriously.
CTO for EMEA at Cohesity.
This data needs to be cleaned, and not only to reduce its risk of litigation.
AI also plays a key role here in classifying the content very accurately and at pace.
There, this data can be further reduced using standard techniques such as deduplication and compression.
Reduction rates of 96 percent are possible in everyday life.
That cat video, perhaps.
Every bit we can save through reducing our stored data, will reduce energy consumption.
So lets start cleaning up.
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