The question is often asked as to what powers AI has in relation to the SDGs. The Sustainable Development Goals 2015, signed by the countries of the United Nations, define certain political development goals to ensure sustainable development on an economic, social and environmental level and to open up the best opportunities for future generations.
In this context, AI has enormous potential to address environmental challenges by increasing efficiency, solving problems and making the best use of data to optimise development and reduce emissions.
Energy Efficiency:
AI can accelerate the energy transition through better integration of renewables into the energy system and smart grid management - for example, by better matching supply and demand in so-called smart grids or creating optimised load forecasts using weather and consumption data. AI algorithms can be used to manage freight transport more efficiently and avoid empty runs.
Resource Efficiency:
AI can make the circular economy more environmentally friendly and resource-efficient, as AI has the potential to optimise waste sorting and thus increase recycling rates for plastics, textiles and commercial waste, for example.
AI can help to increase operational resource efficiency through more efficient use of materials, energy and water and lower greenhouse gas emissions. Predictive maintenance of machines, process and product optimisation or improved logistics planning can not only reduce environmental impacts but also costs.
Nature Conservation:
AI can contribute to nature conservation. Data on the frequency and distribution of endangered animal and plant species can be better analysed and suitable protective measures can be developed in an even more targeted manner.
AI is an important foundation for both large companies and young start-ups, as investors are also interested in sustainable and responsible companies. So make sure you know what issues or criteria you meet as a company and how you can integrate AI into your strategy.
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