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從試點專案邁向具體成效

以 AI 擴大永續影響力

這份新報告彙集超過 260 位高階主管的數據,深入分析工業 AI 的影響如何協助企業實現永續發展目標。

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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.

工業 AI 的下一階段

從早期試點到規模化影響

兩股轉型力量正在塑造我們的世界:從化石燃料轉型為再生能源,從線性經濟轉型為循環經濟。在日益複雜的環境中同時駕馭這兩股力量,需要採用全新的方法。工業 AI 開啟了嶄新的可能性,讓組織能在建造前進行模擬、在營運前進行優化,並在整個價值鏈中實現統籌協調,進而將能源系統、供應鏈與基礎設施轉變為智慧永續的生態系統。

本年度報告延續我們 2024 年首份報告的基礎,重點呈現組織如何超越早期試點階段,邁向大規模部署工業 AI,從而驅動可衡量的永續影響。

主要發現

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

↑ 63% 廣泛採用

63% 的組織正積極導入工業 AI。

↑ 81% 信心日益增長

81% 的受訪者同意,未來永續發展創新將由工業 AI 驅動。

↑ 23% 經實證的成果

採用工業 AI 的組織平均可節能 23%,並減少 24% 的二氧化碳排放。

氣候變化、生物多樣性喪失及人口增長,迫使客戶同時推動能源轉型、循環轉型及社會變革。在重大動盪的時代,要有效應對這些全球互聯的系統轉型,其複雜程度唯有借助 AI 方能駕馭。
Eva Riesenhuber 博士, 全球永續發展主管, Siemens AG

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