凯捷（Capgemini）：2020年气候人工智能报告-人工智能如何为气候行动战略提供动力（英文版）.pdf

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1、How artifi cial intelligence can power your climate action strategy Executive summary As the COVID-19 pandemic spread across the world, it also highlighted another major collective hazard we face climate change. Extreme weather events are increasing, lives are being affected and placed in danger, an

2、d costs are mounting for governments and industry. Given the urgency of this issue, this report seeks to understand how AI can accelerate our response. Our research found that: I. AI offers many climate action use cases We analyzed over 70 AI-enabled use cases for climate action and identified the t

3、en most impactful ones. By that we mean they offer significant benefits for organizations in terms of reduced greenhouse gas (GHG) emissions, improved energy efficiency, and reduced waste. Examples include: Tracking GHG emissions and tracing GHG leakages at industrial sites Improving the energy effi

4、ciency of facilities and industrial processes AI for designing new products that reduce waste and emissions during prototyping, production, and usage AI for inventory management - improving demand planning and reducing wastage of food products and raw materials Route optimization and fleet managemen

5、t for retail, automotive, and consumer products firms II. AI-enabled use cases are already reducing GHG emissions and can accelerate climate action Across sectors, AI-enabled use cases have helped organizations reduce GHG emissions by 13% and improve power efficiency by 11% in the last two years. AI

6、 use cases have also helped reduce waste and deadweight assets by improving their utilization by 12%. Our modelling estimates that, by 2030, AI-enabled use cases have the potential to help organizations fulfil 1145% of the Economic Emission Intensity targets of the Paris Agreement, depending on the