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Welcome to EtyEve Consulting Inc

Climate Smart Change & Green AI

Our planet’s global average temperature is altering at a dangerous pace due to rising greenhouse emissions. In fact, the world is currently about 1.2°C warmer than it was in pre-industrial times. Unfortunately, the reality of the long-term impact of gases already emitted, compounded with the challenges of not being able to halt emissions overnight, avoiding a temperature rise of more than 1.5°C has already been deemed an unattainable goal by many experts.   

Although Climate Change is a global phenomenon, the impact in Africa is anticipated to be greater than in many other parts of the world. This expectation is supported by many factors, including the relatively low shock tolerance of many African countries and the relatively high percentage of African workers engaged in the agricultural sector. 

However, rapid advances in artificial intelligence (AI), green information and communication technologies (ICTs) and robotics offer some hope in our fight against climate change.  High-income countries are increasingly turning their focus to climate change adaptation, and Artificial Intelligence (AI) is a critical tool in those efforts. Algorithms using AI are making better predictions on the short- and long-term effects of climate change, including predictions related to weather patterns, floods and droughts, and human migration patterns. It is not clear, however, that Africa is (or will be) maximally benefitting from those AI tools, particularly since they are largely developed by highly developed countries using data sets that are specific to those same countries.

AI for Good is identifying and scaling solutions where AI can help us detect, adapt and respond to climate change in many different areas such as weather prediction, energy efficiency or by reducing emissions from transportation, agriculture and industry.  

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Here are seven innovations effectively using AI to help mitigate the climate crisis.

  • Green cooling technologies and reducing electronic waste: Global energy needs are growing and consequently exacerbating the climate crisis.  Green cooling technologies can cool electronics without any use of natural resources. If applied at scale, they can reduce, without any pollution, data center energy consumption from 20% to 4%. Green cooling technologies can also help solve another critical issue- E-waste.
  • Preventing plastic pollution: AI algorithm can be used for remote-sensing of plastic detection which has proved to be incredibly useful in comparison to purely relying on manual and on-site observation for collecting data
  • Green digital agriculture:  AI can be used to monitor and optimize agricultural inputs and outputs via precise nutrition control of fertilizers to give farmers a better yield and reduce their greenhouse gas emissions. 
  • Preventing wildfires: Deep learning is a sophisticated machine learning technique that allows for novel ways of uncovering patterns in data hence helping predict the catastrophic effects of climate change.
  • Smart and sustainable cities: AI can be used providing information on where, when, and what disaster or climate change event may occur in the future, providing an incredible opportunity window to act before the events happen.
  • Satellite imagery to predict deforestation: Using satellite imagery, it is possible analyze the potential of deforestation based on information such as the distance to water sources, cities, and other key factors.
  • Improving energy efficiency: It is crucial to combine sustainability goals with business objectives to achieve sustainability targets. We help customers accomplish this and become sustainable by developing solutions through data-driven innovation such as, by applying AI for increased energy efficiency in IT operations and data centers.

Our consultant will work with your organization to ensure your organization incorporates AI to achieve SDG 9 (Industry, Innovation and Infrastructure), 11 (Sustainable Cities and Communities), 12 (Responsible Consumption and Production) and 13 (Climate Action).