Earth5R partnered with Eugenie AI, an artificial intelligence software provider based out of India and the US. We foresee that Eugenie’s technology and the solutions Earth5R co-create together can really amplify the scale and impact of the work that Earth5R does.

Together we are a community of solvers combining the creativity, global network and technology innovation to deliver sustained outcomes and create impact. It all adds up to AI Powered Sustainable Development.

Companies with heavy ecological footprints can use it to make their activity more sustainable, reduce emissions and make positive impact.

AI has the potential to accelerate global efforts to protect the environment and conserve resources by detecting energy emission reductions, CO2 removal, helping develop greener transportation networks, monitoring deforestation, and predicting extreme weather conditions.

  • IT companies can use AI model to reduce the energy load of their data centers, reducing the energy cost of cooling by 40-50%
  • AI can be used for better weather forecasting , making the predictions more accurate. This helps renewable energy companies to better manage their plants, maximizing renewable energy production, and reducing carbon emissions.
  • Manufacturing industries can  use AI to better predict energy consumption patterns and adapt its operating systems, thus significantly boosting efficiency. 
AI for Sustainability Saurabh Gupta Earth5R Soudip Roy Chowdhury Eugenie AI

It estimates that using AI for environmental applications could contribute up to $5.2 trillion USD to the global economy in 2030, a 4.4% increase relative to business as usual.

Research Report by PwC UK, commissioned by Microsoft Tweet
AI-and-Sustainability Earth5R

Environmental challenges that AI can help tackle; Image Source: PwC

Climate Change

  • Energy Companies can make use of machine learning to optimize energy generation and demand in real-time; better grid systems with increased predictability and increased efficiency, and use of renewable energy. 
  • Facility Management and Building Construction companies can deploy smart sensors and meters within buildings to collect data and monitor, analyze, and optimize energy usage in buildings.    
  • AI is already being used in smart transport eg: google maps and Waze, where Machine learning algorithms are used to optimize navigation; increase safety and provide information regarding traffic flows and congestion (e.g. Nexar).

Biodiversity and Conservation

  • AI can be used to detect changes in land use, vegetation, forest cover, and the fallout of natural disasters when combined with satellite imagery, 
  • Invasive species can be monitored, identified and tracked using the technology above, identifying and tracking their presence, and eliminating them is all done using machine learning and computer vision. Blue River Technology is using AI to detect the presence of invasive species and other biodiversity changes. 
  • Predictive softwares have been deployed to help anti-poaching units plan their patrol routes

Ocean Health

  • AI can gather data from ocean locations that are hard or impossible to reach and thus, help protect species and habitats. Illegal fishing can also be tracked using AI.
  • AI-powered robots can be used to monitor ocean conditions such as pollution levels, temperature and pH. 

Water Issues

  • AI is widely used by water scientists to project water usage in a particular geographical area and make weather forecasts to make informed policy decisions. 
  • AI along with satellite data can help to forecast weather, soil and subsurface water conditions and predict droughts.
  • AI can be used for predictive analysis to prevent water loss due to leakages and breakdown in water distribution system.

Healthy Air

  • Air purifiers with AI can record air quality and environmental data in real-time and adapt the filtration efficiency. 
  • AI-powered simulations can send warnings to people living in urban areas about the pollution levels of their areas. There are tools that can detect the pollution sources quickly and accurately.
  • Using data from vehicles, radar sensors and cameras AI can help improve air pollution.

Weather forecast and Disaster resiliency

  • AI-powered predictive analytics along with drones, advanced sensor platforms and similar tools can monitor tremors, floods, windstorms, sea-level changes, and other possible natural hazards. This technology can help government and concerned agencies to take timely actions and the availability of such information in real-time with automated triggers can enable early evacuations when needed. 
  • Various meteorological companies, tech companies like IBM, Palantir, and insurance companies are combining AI with traditional physics-based modelling methods to model the impact of extreme weather events on infrastructure and on their other systems to advise the disaster risk management strategies.    
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AI is ready to transform global productivity and efficiency, equality and inclusion, and a host of other areas critical to the Paris Agreement pledges and the Sustainable Development Goals.

Our AI solution can boost your productivity and climate change strategy and help to achieve more sustainable territories.

How AI can boost your Sustainability strategy

The climate crisis is urgent and organizations must act now. AI for climate action will help you design a climate action innovation roadmap and deploy the most effective use cases for your industry decarbonization to amplify positive output, reducing your GHG emissions and pollution, shrinking your waste, improving power efficiency, and making you an AI climate action champion – an organization with a mature climate change vision and strategy aligned with its AI capabilities.

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References

Vinuesa, R., Azizpour, H., Leite, I. et al. The role of artificial intelligence in achieving the Sustainable Development Goals. Nat Commun 11, 233 (2020). https://doi.org/10.1038/s41467-019-14108-y

Deeksha Chopra, Owen Mulhern  Earth.Org 

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