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"The European Chamber now has more than 1,600 members in 7 chapters operating in 10 cities: Beijing, Nanjing, Qingdao, Shanghai, Shenyang, South China (Guangzhou and Shenzhen), Southwest China (Chengdu, Chongqing) and Tianjin."

"For all the office inefficiency, tortured by overtime workplace! When you are tired all day and still stay up late to change the program... When the boss said "not good enough" but not say where the bad ... When you realize that your colleague has done your work for 3 days in half an hour with AI... Don't panic! This course specializes in: handicapped, uninspired, low efficiency of the three major terminal diseases! Choose this course, not to teach you "lazy", but to teach you "smart", let AI work for you. Real data support: PPT production 90% of the time wasted in the "ineffective entanglement" (such as templates, layout, beautification ...) AI can eat 80% of the dirty work for you! Only 20% of the "brain labor" can conquer the boss! 给所有办公低效，被加班折磨过的职场人！ 当你疲惫一天还要熬夜改方案时… 当老板说“不够好”却不说哪里不好时… 当你发现同事用AI半小时做完你干3天的活儿时… 别慌！ 这门课专治：手残、没灵感、效率低三大绝症！ 选择这门课程，不是教你“偷懒”，而是教你“聪明”，让AI替你打工。 真实数据撑腰： PPT制作90%的时间浪费在“无效纠结”上（比如模板、排版、美化…） AI能替你吃掉80%的脏活累活 只用20%的“脑力劳动”就能征服老板"

"Over the past year, more companies have begun experimenting with ChatGPT, Copilot, AI-powered analytics tools, and emerging agentic applications. Yet in many organizations, AI adoption still remains at the level of individual productivity and leadership teams struggle to determine which AI opportunities are truly worth investing in — and which are merely short-term hype. The question is no longer simply whether to use AI, but where AI should be embedded in business workflows, how roles and responsibilities should be redistributed between humans and machines, and how individual tool usage can be translated into organizational capability. This session will examine the evolution of AI tools and provide participants with a practical framework for enterprise adoption. We will discuss how to distinguish between personal productivity tools, workflow-based AI applications, and agentic systems; how to identify high-value, low-risk, and actionable AI use cases; and how organizations can move beyond isolated experimentation toward more systematic human-AI collaboration and workflow redesign. 在过去一年中，越来越多企业开始尝试 ChatGPT、Copilot、AI数据分析工具以及各类智能体应用。然而，许多团队仍然停留在“个人效率提升”阶段：员工各自尝试工具，部门零散推进试点，管理层却很难判断哪些 AI 场景真正值得投入，哪些只是短期噱头。随着 AI 从内容生成工具逐步演化为能够分析信息、调用工具、参与流程的智能体系统，企业面临的核心问题也在变化：不是简单地“用不用 AI”，而是如何判断 AI 应该嵌入哪些业务流程，如何重新分配人与机器的角色，以及如何将个人工具使用转化为组织层面的业务能力。本次分享将从 AI 工具的发展趋势出发，帮助参与者建立一套面向企业实践的判断框架：如何区分个人效率工具、流程型 AI 应用与智能体系统；如何识别高价值、低风险、可落地的 AI 应用场景；以及企业如何从工具试用走向更系统的人机协作与工作流重构。"

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