Tag: enterprise-ai
All the articles with the tag "enterprise-ai".
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Most of the Gains From AI Adoption Have Little to Do With AI
From hands-on work, most of what an organization gains from adopting AI comes from fixing permissions, data governance, buy-in and redundant processes along the way, not from the AI itself.
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大部分 AI 導入的效益，其實跟 AI 沒什麼關係
從實作經驗看，組織導入 AI 得到的效益，很多來自權限、資料治理、遊說與冗餘流程被順手處理掉，而不是 AI 本身。
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Civil Servants Can't Keep Up With AI? Wrong
I reviewed the AI training project demos at a municipal government's research and evaluation office and wrote ten pages of written comments. Veterans have experience and judgment, and with the right guidance it goes a long way.
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公務員跟不上 AI？其實錯了
替某直轄市政府研考會審查內部同仁的 AI 研習成果發表，寫了十頁書面意見。老鳥的經驗跟判斷力，有正確引導就能發揮巨大價值。
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ABC Legal's Agent Fleet: Turning AI Experiments Into a Governed Production System
Six cards summarizing Anthropic's ABC Legal case study: 50+ production agents, agents managed as software in git, a steering committee with no software developers on it, and the principle that trust comes before automation.
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ABC Legal 的代理人艦隊：把 AI 實驗變成可治理的生產系統
整理 Anthropic 官方 ABC Legal 案例的六張圖卡：50+ 生產環境代理人、把 agent 當軟體放進 git、非工程師組成的 steering committee，以及「可信任，才自動化」的營運原則。
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Three moves to firepower-demo Agentic AI at your company—desktop cleanup, conflicting meeting notes, multi-version emails
If you want to make your manager or coworkers feel Agentic AI in one second—and then open the door to an internal training engagement—my three go-to moves are cleaning up messy desktops, reconciling conflicting meeting notes and emails, and producing multi-version drafts for different recipients. These three hit office workers right in the pain.
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在公司火力展示 Agentic AI 的三招——桌面整理、會議紀錄、信件多版本
想在公司讓主管同事一秒有感、進而開內訓案的話，我自己最常用的三招是：整理桌面亂檔、整理相互衝突的會議紀錄跟信件、迅速生成不同版本的信件給主管同事客戶廠商。這三招對辦公室的人就夠有感了。
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What I only learned after taking on enterprise AI training—prep time, the client liaison, instructor flexibility, and how to pick an instructor
Four things I learned after running a handful of enterprise AI training sessions. Prep time is 3-5x the session itself. The client liaison decides everything. The instructor has to handle wildly different skill levels. And if you're looking to hire a trainer, the signals are like picking a pop star.
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親自接 AI 企業培訓之後才知道的事——準備時間、甲方對接、講師應變、選講師訊號
接了幾場企業 AI 培訓之後整理出來的四件事：準備時間是上課時間的 3-5 倍以上、甲方對接者決定一切、講師要能應付各種程度跟提問、想找講師的話訊號跟追星很像。