Friday, October 22, 2021

How artificial intelligence can help combat climate change

How artificial intelligence may assist in the fight against climate change


With the epidemic, people are more aware of the implications of climate change. Extreme weather occurrences are having an increasing impact on human health, economy, and business. There have been 7,348 big disasters in the last two decades, claiming 1.23 million lives, affecting 4.2 billion people, and costing $2.97 trillion in worldwide economic damages, with 2019 seeing the largest CO2 emissions in human history.

Artificial intelligence, in this context, offers considerable benefits for businesses in terms of reducing greenhouse gas (GHG) emissions, increasing efficiency, and reducing waste. GeSI technology has the potential to reduce 9.7 times more carbon emissions than it emits, according to the Global e-Sustainability Initiative. 

With effective use cases such as tracking GHG emissions and monitoring GHG leakage at industrial sites, as well as utilizing AI to improve the energy efficiency of industrial facilities and processes, AI's adoption to combat climate change is expanding. As an example, consider the following:

- Monitoring greenhouse gas emissions and leakage at industrial locations.

- Improving the efficiency of industrial facilities and processes in terms of energy use.

- Artificial intelligence (AI) for developing innovative products that reduce waste and pollution during prototype, manufacturing, and use

- Artificial intelligence (AI) for inventory management - enhancing demand forecasting and decreasing food, product, and raw material waste

- Fleet management and route optimization for retail, automotive, and consumer goods firms

Climate AI: How Artificial Intelligence Can Drive Your Climate Action Strategy, a new report from Capgemini Research Institute, polled 800 industry executives and 300 AI and climate change specialists, as well as interviewing more than 40 industry executives and experts. The findings of the paper show that AI-enabled use cases have already helped enterprises reduce GHG emissions by 13% and improve energy efficiency by 11% in the last two years.

According to the paper, AI-enabled use cases have the potential to assist enterprises in meeting between 11 and 45 percent of the Paris Agreement's "economic emissions intensity" targets by 2030. For example, AI-enabled use cases in the automobile sector have the potential to achieve 8 percentage points of the 37 percent (almost one-fifth) reduction required by 2030 under the Paris Agreement targets.

Artificial intelligence is also being use to design innovative goods that reduce waste and emissions during prototype, manufacture, and use. By enhancing demand planning, AI is helping to reduce food and raw material waste. It is also being successfully deployed for route optimization and fleet management in the retail, automotive, and consumer products industries.

Despite this promise, the 'Climate AI Champions,' or organizations who are successfully deploying climate AI, make up only 13% of the total survey sample. AI action through the development of dedicated technical and leadership teams to drive implementation is one of the strong characteristics of their management that stands out. 

Thus, compared to 36 percent of the others, 47 percent of champions have a dedicated leader for each climate goal and action, and 53 percent have a dedicated team to deploy technology solutions, compared to 42 percent of the rest.

One of the report's main recommendations is that sustainability teams be educated on AI's potential, as well as AI teams be educated on the importance of climate action. In addition, in order to fully fulfill AI's climate-action potential, organizations must:

Combat AI's harmful impact on the environment.

Educate their staff on the urgency of climate change and how artificial intelligence can help.

Lay the technological foundation for AI-assisted climate action.

Specific use cases should be scaled.

Collaborate with the ecosystem of climate change.

Make use of artificial intelligence to concentrate on reducing scope 3 emissions.

Article by Gerluxe Image: piqsels

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