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可持续扩展AI：领导者须避免的四大误区

一个更绿色的数字未来，始于高管层和管理层做出更明智的决策。

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    • 数据是人工智能的燃料，但不良的数据管理会造成巨大的隐性成本。许多组织“以防万一”地收集和存储海量数据，却没有明确的生命周期管理政策。
    • 数据是人工智能的燃料，但不良的数据管理会造成巨大的隐性成本。许多组织“以防万一”地收集和存储海量数据，却没有明确的生命周期管理政策。 图片来源：PIXABAY

    Shankar Raghavan

    Published Thu, Nov 20, 2025 · 06:00 PM

    本文由AI辅助翻译

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    人工智能 (AI) 正在亚洲以惊人的速度扩展，但该地区的基础设施、能源系统和可持续发展框架正努力跟上其步伐。 

    新加坡在2025年8月推出了一项新的数据中心标准，旨在提高热带气候下的信息技术（IT）能源效率，目标是通过更智能的设备选择和优化的运营，将能耗至少降低30%。

    中国正在试验用水下数据中心来削减冷却成本，而印尼和马来西亚等市场则在收紧环境、社会和公司治理 (ESG) 的报告规则。 

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