數創實驗室 - AI時代的學習指南
Vincent在數創#### 關於數創實驗室 Podcast 數創實驗室是以數據/AI主題為核心的學習型社群，提供各位學習資源、認識朋友、與接觸工作機會等價值。我們每月舉辦一次實體聚會，內容為專題演講、networking time、與其他各式資源分享。 本節目將以圍繞AI、大數據、個人職涯發展為主題，以提高社會AI素養為願景，特別適合下列朋友收聽 : - 大數據 & 資料科學領域人士 - 企業領導人、公司高管收聽 - 關注AI發展的其他領域優秀人士 #### 關於Podcast主理人 Vincent Chen (www.linkedin.com/in/hsiang-hao-chen-53443593) 數創實驗室創始人, Podcast播客主理人 / 數創智能CEO 遠見天下文化 AI 專欄作家 (www.gvm.com.tw/blog/6789) 美國財星500強電商大廠 | 數據團... more
| Publishes | Weekly | Episodes | 113 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Language |  Korean | Number of Listeners | Categories | BusinessTechnologyCareers |
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AI 專案做了三個月，數字都很漂亮，就代表成功了嗎？
本集從 Klarna AI 客服案例出發，拆解為什麼回應速度、處理量、成本下降，不一定等於真正的商業成效。Vincent 將分享 AI 專案啟動前必問的三個問題，以及為什麼技術指標必須和客戶滿意度、問題解決率等商業指標一起看。
📊———⚙️🤖【數創活動資訊 】🤖⚙️———📊
AI Eval 公開體驗課｜從企業 AI 專案常見的驗收困境出發，聊聊為什麼「看起來還不錯」可能是最危險的判斷。若你正在參與 AI 專案，需要釐清 Demo... more
上一集我們聊到 Claude Code 品質波動事件。表面上看，這像是一場產品事故；但如果往深一層看，真正值得 AI 專案決策者在意的，不只是「模型有沒有變笨」，而是：同一個模型，只要供應商調整背後的參數、快取邏輯、配額策略或 reasoning effort，你拿到的品質就可能跟著改變。
這集也會提醒你，未來選 AI 工具或模型供應商時，不能只看 benchmark、demo 或「能力天花板」，更要看它能不能穩定交付。對真實專案來說，一個 80 分但穩定的系統，往往比一個 95 分但波動很大... more
📊———⚙️🤖【數創活動資訊 】🤖⚙️———📊
五月數創小聚｜邀請到國父（ Joseph Yen），從第一線實務經驗分享大模型時代下，資訊檢索、RAG 與 Long Context 的技術變化。若你關注搜尋系統、LLM 架構設計，這場很值得一聽。
📍 05/13（三）19:00–22:00（實體＋線上）
👉https://accu.ps/ZJuTBm
⚛️ 數創實驗室 DatainnoLab
電子報｜datainnolab.pse.is/8edx6k more
很多人以為 AI 專案最難的是從 0 到 1，但真正的挑戰，往往是成功之後才開始。
當客服 AI 上線有效、法務問答機器人也跑得起來，老闆下一句話很可能就是：「那業務、HR、財務，是不是也都可以各做一版？」
從那一刻開始，你可能就不只是 AI 專案 PM，而是全公司 AI 導入的關鍵窗口。
本集 Vincent 延續 Geoffrey A. Moore《跨越鴻溝》之後的下一個經典概念《龍捲風暴》，聊聊當 AI 專案從單點成功走向組織擴張時，會遇到的三個階段。
而在企業 AI 導入的龍捲風時... more
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- 超愛路隊長
Ai 情人那一集好有趣❤️
Apple Podcasts5Yumiko34D
Taiwan9 months ago - 內容新穎且表達清晰
Vincent 真的好厲害，能追到最新的觀點，而且能用聽故事一樣的好理解的方式來讓人易於吸收！大推
Apple Podcasts5IamCa_Taiwan9 months ago - 優良頻道👍🏻👍🏻
乾貨滿滿，又解說易懂，大推👍🏻
Apple Podcasts5Fran_2401Taiwan10 months ago - 推
謝謝 Vincent 清晰講解、邀請厲害嘉賓
Apple Podcasts5y568uya3Taiwan10 months ago - 很棒的內容
獲得很多最新的AI資訊，真的很推
Apple Podcasts5verykawai 1211Taiwana year ago
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