Reducing your analytical carbon footprint [Webinar]

Decarbonizing, or reducing your analytical carbon footprint is important, we all know it. For our planet, for our future, and for our business. In this video, with the help of Loïc Lannelongue, data scientist and Ph.D. candidate at the University of Cambridge, we will explain how to calculate your algorithms' as well as data pipelines' energy consumption, and suggest ways to reduce it.

Special thanks to Chaim Rand and Ohad Shalev for sharing their knowledge!

SELECT SQream

[tristangonzales]

Through carb0nfi, I'm learning more and more about carbon footprints and Im planning to check out any reference to learn more about it

[nxgrs]

The Earth is cooler w the atmos/GHGs/albedo not warmer.
To perform as advertised the GHGs require "extra" energy upwelling from the surface radiating as a black body.
The kinetic heat transfer processes of the contiguous atmos molecules render that scenario impossible.
No greenhouse effect, no GHG heating, no man/CO2 driven climate change or Gorebal warming.