互联网公司为什么越来越重视架构治理
过去十多年，互联网行业一直以“速度”著称。快速迭代、持续上线、敏捷开发，是许多企业成功的关键因素。然而，当企业规模扩大、系统数量激增、数据资产不断累积之后，一个新的问题逐渐显现：速度本身，如果缺乏结构支撑，最终会转化为复杂度与风险。
一仓两用、AEO认证、享惠清单，摩托车出口能省多少出海成本？
海关面向摩托车出口企业的帮扶不是一份全国统一的政策文件，而是由重庆、广东、浙江等主产区属地海关，针对摩托车出口“散件集拼效率低、多目的地合规难、查验成本高”三个共性痛点推出的定向落地措施。这些措施目前集中在三个维度：通关模式创新，直接省下仓储物流硬成本。
世界地球日 | 让架构之美，守护地球之美
每年的4月22日是世界地球日，一个提醒我们珍视这颗蓝色星球、加速绿色行动的日子。在数字化与低碳化双重转型的时代，组织面临的挑战已不只是“如何用技术提升效率”，更是“如何用架构实现可持续”。
中国科协2026年“开放合作月”拉开帷幕
Aimed at young scholars and engineers from China and abroad， the exchanges will provide a platform for dialogue at the intersection of science， technology and culture while promoting mutual learning and joint research.
会员闭门活动圆满举行｜共探企业架构标准本土化实践与认证新路径
5月22日，The Open Group在上海成功举办了会员专属闭门活动——“企业架构标准本土化实践与认证规划”。来自多家会员企业的架构负责人、数字化转型专家齐聚一堂，围绕国际标准在中国政企场景下的落地策略、认证体系推广路径等核心议题，进行了长达三个小时的深度闭门共创。
Innovating at scale: A new anchor for global growth
The 17th Annual Meeting of the New Champions 2026 is being convened in China's coastal city of Dalian. At the opening plenary session， Chinese Premier Li Qiang delivered a special address， outlining the significance of “China Opportunity 2.0” for the global community.
China urges open, fair global sci-tech ecosystem while prioritizing self-reliance: spokesperson
Lou Qinjian， spokesperson for the fourth session of the 14th National People's Congress， told a press conference ahead of the opening of the session， that scientific and technological innovation cannot do without an open， inclusive and mutually beneficial global ecosystem.
AI时代的风险，正在悄悄发生变化
在很多企业内部，一个变化正在悄然发生。风险并没有减少，反而变得更难被定义。过去，我们谈风险，通常指向具体问题：系统宕机、数据泄露、项目延期。这些问题虽然严重，但至少是“可识别、可归因、可处理”的。
全球人工智能治理科技社团倡议
We respect the right of all countries to participate equally in AI research and governance， as well as their AI governance paths and policies formulated based on their respective national conditions. We strictly oppose technological hegemony， academic barriers， exclusive “small circles”， and unreasonable technological monopolies， striving to better reflect the demands of developing countries and vulnerable groups in areas such as data access， talent cultivation， and rule-making. We should strengthen academic exchanges and capacity building with developing countries， assisting them in enhancing their AI research and governance capabilities through global joint research， collaborative training， and shared platforms. Together， we aim to bridge the global gap in AI and foster a fair， inclusive， open， and shared global academic ecosystem.