Will AI help Europe achieve its Green Deal? | Discover more with Angeliki Dedopoulou
How are digitalisation and AI linked to the EU’s Green Deal?
And how can the innovative exploitation of data help tackle environmental challenges?
Join Angeliki Dedopoulou in the latest episode of her series on Artificial Intelligence to find out.
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Hello, everyone. My name is Angeliki Dedopoulou, and today we’ll speak about the potential of AI in the context of the European Green Deal.
The European Green Deal covers all sectors of the economy, including transport, energy, agriculture, building in industry. You may well ask, how digitalisation, and as a consequence, AI, is linked to the Green Deal?
Well, digital technologies can help reduce transaction costs, enable real-time use of data, assist with the discovery of interdependencies, as well as rationalise operations and build efficiencies into processes. In its white paper on artificial intelligence, the European Commission states that ‘accessible and interoperable data are at the heart of data-driven innovation’. This data, combined with digital infrastructure and artificial intelligence, facilitate evidence-based decisions and expand the capacity to understand and tackle environmental challenges.
Digitalisation essentially leads to greater efficiency and more sustainable solutions. So, in the energy sector, for example, digitalisation helps efficiency, and in the agricultural sector, it can help farmers do more with less. The application of AI in transport can overcome the challenges of increasing travel demands: carbon emissions, safety concerns and environmental challenges. Urban areas account for 23% of carbon emissions through transport.
Digital technologies are therefore critical enablers for attaining the sustainability goals of the European Green Deal. In light of the availability of a huge amount of quantitative and qualitative data in AI, addressing the sustainability concerns in a more efficient and effective fashion has become more possible. By the year of 2025, 100% of new cars will be connected, and by 2030, 50% of new cars will be autonomous.
The use of artificial intelligence in data analytics in buildings functions as a key enabler to monitor, manage and automatically adjust energy consumption. These types of systems allow for monitoring the use of space, water, and the consumption and allocation of energy. By taking advantage of powerful analytics in AI, building owners can significantly cut energy consumption and achieve at the same time ambitious cost-saving targets.
Broader use of AI could reduce worldwide greenhouse gas emissions by 4% in 2030; an amount equivalent to 2.4 Gt carbon emissions. At Huawei, we praise the European Commission’s priority to counter climate change and environmental degradation, and we believe that there is a key role that the further rollout of artificial intelligence solutions can play in this fight.