[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-資料治理":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":9},"49b7c093-98bf-474d-b818-7c3262288640","資料治理",7,"資料治理指的是企業如何定義、控管與追蹤資料的存取、使用與生命週期，涵蓋權限、稽核、資料分類、保留政策與 AI 訓練邊界。當內部工具、雲端平台與生成式 AI 同步擴張時，治理決定資料能否安全流動而不失控。","Data governance covers how an organization defines, controls, and audits data access, usage, and lifecycle: permissions, classification, retention, lineage, and AI training boundaries. As internal tools, cloud platforms, and generative AI spread, governance determines whether data can move safely without creating sprawl or compliance risk.",[11,20,27,35,42,49,56,64,71,79],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"d5d7e52d-ce6e-44d2-953e-a18335eab510","why-hyperights-may-2026-focus-matters-zh","為什麼 Hyperight 的 2026 年 5 月焦點比 AI 熱潮更重要","Hyperight 的 2026 年 5 月內容指出，企業 AI 已經從試驗階段進入可治理、可部署、可衡量成果的工業化執行時代。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780493577988-tsnx.png","zh","2026-06-03T13:32:24.411102+00:00",{"id":21,"slug":22,"title":23,"summary":24,"category":16,"image_url":25,"cover_image":25,"language":18,"created_at":26},"c150342d-fc8b-4f03-ad12-15558d27f122","why-snowflake-anthropic-deal-enterprise-ai-move-zh","為什麼 Snowflake 與 Anthropic 的合作，是企業 AI 的正…","Snowflake 擴大與 Anthropic 的合作，是正確的企業 AI 策略，因為它把 Claude 放進公司資料本來就所在的平台。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780416180594-sc8i.png","2026-06-02T16:02:20.589317+00:00",{"id":28,"slug":29,"title":30,"summary":31,"category":32,"image_url":33,"cover_image":33,"language":18,"created_at":34},"db646b90-e51a-4df6-995e-b5d1fa4c8ef7","gemini-spark-enterprise-security-compliance-en-zh","Gemini Spark：企業版先看資安","Google Cloud 的 Gemini Spark 企業方向被拿來檢視資安、治理與合規。重點不是聊天能力，而是身份控管、日誌、權限與高風險動作審批。","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779786357657-ckk6.png","2026-05-26T09:05:26.383239+00:00",{"id":36,"slug":37,"title":38,"summary":39,"category":16,"image_url":40,"cover_image":40,"language":18,"created_at":41},"6b487733-d15a-46c0-af5b-30722c937157","amazons-ai-push-is-creating-internal-duplication-zh","Amazon AI 讓內部重複工具爆量","Amazon 內部備忘錄指出，AI 讓重複工具、殘留資料與平行系統變多。開發變快了，但治理沒跟上，企業內部混亂也同步放大。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776738633703-23go.png","2026-04-21T00:09:26.477471+00:00",{"id":43,"slug":44,"title":45,"summary":46,"category":16,"image_url":47,"cover_image":47,"language":18,"created_at":48},"35a0d8f3-95b9-4c31-ab78-1ed0347d5258","atlassian-ai-training-customer-data-2026-zh","Atlassian 2026 起用資料訓練 AI","Atlassian 將在 2026 年 8 月 17 日起，用客戶中繼資料與應用內資料訓練 AI。Free、Standard、Enterprise 的預設值不同，管理員得先看清楚。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776514031243-wf5v.png","2026-04-18T12:06:36.639449+00:00",{"id":50,"slug":51,"title":52,"summary":53,"category":16,"image_url":54,"cover_image":54,"language":18,"created_at":55},"dd957945-c6c9-47b3-9b20-0f2a51f006d2","starburst-aida-governed-data-assistant-zh","Starburst AIDA 把治理帶進企業資料","Starburst AIDA 讓企業用自然語言查詢分散資料，保留治理與權限控制，不必先把資料全搬進單一平台。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776341589198-liba.png","2026-04-16T12:12:48.549519+00:00",{"id":57,"slug":58,"title":59,"summary":60,"category":61,"image_url":62,"cover_image":62,"language":18,"created_at":63},"7bd5b761-daf3-4f08-b25f-f019d7022d7b","zocks-mcp-chatgpt-claude-fintech-advisors-zh","Zocks 把 MCP 接到 ChatGPT 和 Clau…","Zocks 推出 MCP 連接器，讓顧問在 ChatGPT 與 Claude 直接讀取受控客戶資料，少掉複製貼上，也降低合規風險。","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775174824670-96zu.png","2026-04-03T00:06:31.061769+00:00",{"id":65,"slug":66,"title":67,"summary":68,"category":61,"image_url":69,"cover_image":69,"language":18,"created_at":70},"4e504c31-5fea-4a7a-be2a-125425772378","cursor-kimi-k25-disclosure-miss-explained-zh","Cursor 漏報 Kimi K2.5，問題在哪","Cursor 的 Composer 2 宣稱自研，卻被發現底層其實是 Kimi K2.5。這次漏報不只影響信任，也牽涉授權、資料流向和企業採購判斷。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775157170056-atpp.png","2026-04-02T19:12:34.237234+00:00",{"id":72,"slug":73,"title":74,"summary":75,"category":76,"image_url":77,"cover_image":77,"language":18,"created_at":78},"91022b4c-b53e-4c18-abfe-914a8eca6e28","blockchain-in-ai-real-use-cases-zh","區塊鏈加 AI，真實落地在哪裡","醫療、金融、供應鏈都在用區塊鏈加 AI。重點不是炒概念，而是把資料來源、存取紀錄和審計流程做乾淨，讓模型判斷更可靠。","blockchain","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775116162284-pwr8.png","2026-04-02T06:30:44.026286+00:00",{"id":80,"slug":81,"title":82,"summary":83,"category":16,"image_url":84,"cover_image":84,"language":18,"created_at":85},"fa006110-18df-40ed-ac43-1e2133fa2c06","rag-in-2026-what-enterprise-ai-needs-now-zh","2026 年企業 AI 為何更靠 RAG","RAG 已從展示用技術走進企業預算。原因很直接：公司要的是能讀取最新內部資料、可追溯、可控權限的 AI，而不是只會背舊訓練資料的聊天模型。到了 2026 年，真正有用的重點在檢索品質、權限治理、即時資料連接與合規設計。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774517341124-yymy.png","2026-03-26T08:06:06.808873+00:00"]