AI and Climate Change

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AI and Climate Change

For decades now, climate change has been a growing concern that will not be going away any time soon. Predictions show that we are approaching a ‘point of no return’, political divides are being healed to combat global warming. Both AI and climate change have been news for years, and we will see their impact for years to come. 

Polls around the 2020 US election saw climate change as a major concern for the American population, regardless of party. This shows that in an increasingly partisan political landscape, this issue is having an impact on an individual level.

The role of every industry in reducing climate breakdown is ever-changing, and AI technology has been helping with this from an industrial to a personal level. In this post, we’ll examine the ways AI and Climate Change relate, and how AI can help slow global warming.

Energy Efficiency

The Capgemini Research institute predicts that over the next 3-5 years, AI will improve energy efficiency by up to 15%. This is a result of improvements in data analysis, as companies are not harnessing their data in ways such as demand prediction.

Here are some companies leading the way with Energy Efficiency technology:

Avoiding waste

Minimising waste is an important way for a business to reduce its carbon footprint, and one of the easiest. Around 25% of CO2 emissions are from energy wasted by buildings, and could be reduced by actions as simple as automating office heating or lighting.

All industries have the capability to reduce waste, such as agriculture having technology that can optimise livestock feeding and care, or concentrate herbicides onto just the areas that need it. Therefore minimising both product waste, but also the number of hours of labour needed in order to complete tasks.

Here are some companies leading the way in Reducing Waste:

Data Analytics & Climate Change

Companies now have access to more data than ever before, meaning the analysis available is following suit. Getting an understanding of a business’ carbon footprint is the first step to minimising it, and when technology is available to collate this data and present it in formats that are easy to understand, it couldn’t be easier.

Here are some companies leading the way in Data Analytics:

AI’s Carbon Footprint

Is AI Part of the Problem?

The difficulty however, is that in creating the frameworks and technologies that will eventually reduce carbon emissions, a carbon footprint is created. Fortunately, the research has shown that with proper implementation the eventual payoff will far outweigh this.

The impact of AI on combating climate change will only continue to grow, and here at Geniusly we are excited to see how this technology can help.

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