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从试点到成效

利用 AI 扩大可持续发展影响力

这篇最新报告收录了 260 多位高管分享的数据,深入分析了工业 AI 如何助力企业实现可持续发展目标。

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AI accelerates the sustainability transformation

Discover how AI and digital twin technology drive sustainable industry, optimize energy grids, and enable innovative product design. Learn about real-world impacts and the importance of collaboration for a greener, more inclusive future.

Artificial Intelligence (AI) is becoming a key driver of industrial innovation and sustainability. In this interview, Dr. Eva Riesenhuber, Head of Sustainability, Siemens, explains how AI copilots, generative AI, and digital twin technology help organizations improve efficiency, reduce energy consumption, and accelerate innovation. Through real-world examples, the discussion highlights how AI can optimize power grids, revolutionize product design, and unlock new opportunities for productivity and resource efficiency. Digital twins play a crucial role by connecting the physical and digital worlds, enabling data-driven decisions and continuous optimization across products, factories, buildings, and infrastructure. The interview also explores how technology, knowledge sharing, and collaboration between businesses, governments, and society can help advance the energy transition and the shift toward a circular economy in an inclusive and sustainable way.

工业 AI 的下一阶段

从早期应用到扩大影响力

两大转型正在重塑我们的世界:从化石燃料向可再生能源转型,以及从线性经济向循环经济转型。在日益复杂的环境中驾驭这两大转型,需要全新的方法。工业 AI 开辟了新的可能性,它可以实现建造前仿真、运营前优化、全价值链协同,将能源系统、供应链和基础设施转变为智能、可持续的生态系统。

在 2024 年首期报告的基础上,本年度最新版本的报告聚焦于企业如何从早期试点迈向规模化的 AI 部署,带来可量化的可持续发展成效。

重要发现

Source: Reuters report "From pilots to performance. How Industrial AI is Helping to Scale Sustainability Impact."

↑ 63% 广泛应用

63% 的企业正在积极实施工业 AI。

↑ 81% 信心持续提升

81% 的受访者认为,未来可持续发展领域的创新将由工业 AI驱动。

↑ 23% 成效经过验证

应用工业 AI 的企业平均实现节能 23%,二氧化碳减排 24%。

面对气候变化、生物多样性丧失及人口增长,企业必须拥抱能源转型、循环经济转型和社会变革。在重大变革时期,要驾驭全球互联系统转型的复杂性,唯有依靠人工智能。
Eva Riesenhuber 博士, 全球可持续发展负责人, Siemens AG

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