[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-企業-ai":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"2e34e66b-dd24-426b-b9ea-264040718b7f","企業 AI","企業-ai",15,"企業 AI 指的是把模型、代理人與資料流程放進真實組織裡運作：客服、文件處理、內部搜尋、風控與合規。它的關鍵不只在能力，還包括權限控管、沙箱、審計、供應商選擇與法規壓力。","Enterprise AI covers how models and agents are deployed inside real organizations: customer support, document workflows, internal search, risk controls, and compliance. The focus is not just capability, but access control, sandboxing, auditability, vendor choice, and regulatory pressure.",[12,21,28,35,42,49,56,63,70,77,85,92,99,106,114,121,128,135,142,149,156,163,170],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"f79412de-89ec-4141-8f29-80acd264b5e0","openai-forms-4b-unit-enterprise-ai-rollout-zh","OpenAI 砸 40 億美元搶企業部署","OpenAI 成立 40 億美元部署單位，找來 19 家夥伴幫企業落地 AI，重點放在整合、治理與正式上線。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778755848006-u7et.png","zh","2026-05-14T10:50:31.022058+00:00",{"id":22,"slug":23,"title":24,"summary":25,"category":17,"image_url":26,"cover_image":26,"language":19,"created_at":27},"2915720d-89e3-46af-b1e7-498826844353","why-openai-deployment-company-right-move-zh","為什麼 OpenAI 的 Deployment Company 是正確一步","OpenAI 的 Deployment Company 之所以正確，是因為企業 AI 的失敗點在整合與落地，不在模型能力本身。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778755248729-3qk7.png","2026-05-14T10:40:22.863422+00:00",{"id":29,"slug":30,"title":31,"summary":32,"category":17,"image_url":33,"cover_image":33,"language":19,"created_at":34},"7f67f087-c76b-4705-9e95-46a329119988","why-claude-may-2026-updates-platform-play-zh","為什麼 Claude 2026 年 5 月更新是平台戰，不是功能堆疊","Claude 的 2026 年 5 月更新顯示，Anthropic 正把 Claude 從聊天機器人推向企業工作平台，而不是單純加功能。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778559044814-qdxb.png","2026-05-12T04:10:19.53515+00:00",{"id":36,"slug":37,"title":38,"summary":39,"category":17,"image_url":40,"cover_image":40,"language":19,"created_at":41},"365f007a-340b-42cc-9f3c-0fd3db6b3ff0","why-small-language-models-should-replace-llm-first-enterpris-zh","為什麼企業 AI 應該先用小型語言模型，而不是 LLM 優先","企業 AI 的預設架構應該是小型語言模型，而不是大型 LLM，因為多數工作更便宜、更快，也更容易控管風險。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778461848994-64df.png","2026-05-11T01:10:23.524005+00:00",{"id":43,"slug":44,"title":45,"summary":46,"category":17,"image_url":47,"cover_image":47,"language":19,"created_at":48},"aa490ede-43dc-42f6-abc3-2f8e105ca176","why-polyai-kong-deal-right-move-enterprise-ai-zh","為什麼 PolyAI 與 Kong 的合作是企業 AI 的正確選擇","PolyAI 把 API 平台統一到 Kong 是對的，因為企業 AI 要先有治理、擴展性與可變現能力，才撐得住規模化商用。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778228445755-b4w6.png","2026-05-08T08:20:23.570188+00:00",{"id":50,"slug":51,"title":52,"summary":53,"category":17,"image_url":54,"cover_image":54,"language":19,"created_at":55},"6d3262a4-1a3b-4cdc-b660-3d7b9e4195a4","why-anthropic-finance-push-is-right-move-zh","為什麼 Anthropic 進軍金融業是對的","Anthropic 轉向銀行與保險業是對的，因為金融業最能最快、最大規模驗證 AI agent 的商業價值。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778044245167-9dm5.png","2026-05-06T05:10:21.042146+00:00",{"id":57,"slug":58,"title":59,"summary":60,"category":17,"image_url":61,"cover_image":61,"language":19,"created_at":62},"95a80057-6013-4b6b-b1a2-9ac97f05a489","anthropic-financial-agents-wall-street-bet-zh","為什麼 Anthropic 的金融代理人是華爾街的重大押注","Anthropic 的金融服務代理人不是展示品，而是把 AI 做成金融機構工作底層的產品押注，華爾街應把它當基礎設施看待。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778015453092-uvza.png","2026-05-05T21:10:25.667082+00:00",{"id":64,"slug":65,"title":66,"summary":67,"category":17,"image_url":68,"cover_image":68,"language":19,"created_at":69},"13153bc9-0e9b-4b2a-b8e9-b6a6d60545ce","ibm-bob-enterprise-ai-harder-test-zh","為什麼 IBM 的 Bob 證明企業 AI 需要更 سخت的考題","IBM 的 Bob 說明企業 AI 不能只看 demo 與內部效率，還得通過真實流程、安全審查與成本壓力。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777861847379-yj1h.png","2026-05-04T02:30:20.318787+00:00",{"id":71,"slug":72,"title":73,"summary":74,"category":17,"image_url":75,"cover_image":75,"language":19,"created_at":76},"7fad4cf3-bf91-4da2-9983-edebd66612f5","google-anthropic-enterprise-ai-trust-zh","Google 與 Anthropic 押注企業 AI 信任","Google 與 Anthropic 把企業 AI 成長押在信任與選擇上，Anthropic 的 annual revenue run rate 也從 90 億美元跳到 300 億美元以上。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777680656240-ixqk.png","2026-05-02T00:10:30.735932+00:00",{"id":78,"slug":79,"title":80,"summary":81,"category":82,"image_url":83,"cover_image":83,"language":19,"created_at":84},"b3e4d4ed-a225-456c-8550-8d26c26ce5e5","openai-agents-sdk-safer-enterprise-controls-zh","OpenAI Agents SDK 加強企業控管","OpenAI 為 Agents SDK 加上 sandboxing 與 harness 支援，讓企業能把長流程代理人放進更可控的環境，API 也維持標準計價。","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776513829857-0otz.png","2026-04-18T12:03:31.394038+00:00",{"id":86,"slug":87,"title":88,"summary":89,"category":17,"image_url":90,"cover_image":90,"language":19,"created_at":91},"39806d22-002b-499f-8341-2242243a55b3","anthropic-claude-mythos-preview-bank-fears-zh","Claude Mythos Preview 讓銀行更警覺","Anthropic 向銀行簡報 Claude Mythos Preview，同時在華府與川普政府打官司。這場 AI、監管與金融風控的拉扯，正在改變企業採購規則。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776125393235-p9os.png","2026-04-14T00:09:34.597883+00:00",{"id":93,"slug":94,"title":95,"summary":96,"category":82,"image_url":97,"cover_image":97,"language":19,"created_at":98},"a0793170-f21f-4450-9d77-43cc7e43b192","anthropic-managed-agents-enterprise-ai-work-zh","Anthropic 推出 Managed Agents 攻…","Anthropic 推出 Claude Managed Agents，想把企業做 AI agent 時最煩的基礎建設包起來。公司 ARR 已破 300 億美元，和 OpenAI 的企業戰場也越打越兇。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775779802303-ko9l.png","2026-04-10T00:09:40.716623+00:00",{"id":100,"slug":101,"title":102,"summary":103,"category":17,"image_url":104,"cover_image":104,"language":19,"created_at":105},"2b9b22bd-15a3-4a94-807c-aa94219c07a0","openai-enterprise-bet-consulting-muscle-zh","OpenAI找顧問助攻企業落地","OpenAI 與 Accenture、BCG、Capgemini、McKinsey 簽下多年合作，想把 Frontier 更快塞進企業流程。這場 AI 競賽，現在比的是落地能力，不只是模型本身。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775496631805-rgv0.png","2026-04-03T09:03:38.196115+00:00",{"id":107,"slug":108,"title":109,"summary":110,"category":111,"image_url":112,"cover_image":112,"language":19,"created_at":113},"bd53238f-f332-4743-902c-538ad2525f29","ai-coding-fast-trust-bottleneck-zh","AI 寫碼很快，信任才是瓶頸","AI coding 工具已能秒寫程式，但企業真正卡住的是驗證、治理與信任。從 Claude Code、Codex 到 Qodo，重點正在從生成轉向審查。","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775200370334-45x0.png","2026-04-03T07:12:32.718311+00:00",{"id":115,"slug":116,"title":117,"summary":118,"category":111,"image_url":119,"cover_image":119,"language":19,"created_at":120},"7f3d9a39-815e-49c4-aced-a5454e7b4afa","what-openrag-does-for-enterprise-ai-zh","OpenRAG 在企業 AI 的用途","IBM OpenRAG 把檢索、索引和模型協調包成一套。適合用公司內部資料做 RAG，讓回答更貼近文件，也更好追查來源。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775164554067-i4oe.png","2026-04-02T21:15:38.707251+00:00",{"id":122,"slug":123,"title":124,"summary":125,"category":111,"image_url":126,"cover_image":126,"language":19,"created_at":127},"4c440055-5b31-4b39-8276-89d1abe4699b","preset-mcp-enterprise-controls-superset-zh","Preset 為 Superset MCP 加上企業控管","Preset 把 Apache Superset 的 MCP 服務包成可上線的企業版，補上 OAuth 2.0、workspace 隔離、內建 Chatbot 與 Kubernetes 部署，讓 AI 工具能在多租戶環境安全運作。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775164020578-lofq.png","2026-04-02T21:06:37.509041+00:00",{"id":129,"slug":130,"title":131,"summary":132,"category":17,"image_url":133,"cover_image":133,"language":19,"created_at":134},"ff021fab-7330-4e01-8187-ca099f7c31f4","claude-vs-chatgpt-copilot-gemini-enterprise-2026-zh","Claude、ChatGPT、Copilot、Gemini…","Claude 擅長長上下文與程式工作；ChatGPT、Copilot、Gemini 則靠分發、整合與工作流吃香。企業 2026 年該怎麼選，重點不是誰最強，而是誰最適合你的資料、流程與控管。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775153757367-xo7r.png","2026-04-02T18:15:40.452457+00:00",{"id":136,"slug":137,"title":138,"summary":139,"category":82,"image_url":140,"cover_image":140,"language":19,"created_at":141},"dbd5fb09-26bd-40fa-b05c-fbb4169753ed","ai-agents-trust-control-security-tools-zh","AI agents 開始講究信任與控制","Codenotary、Klient PSA、Georgia Tech 與 Samsara 的案例顯示，AI agents 正走進可監控、可解釋、有人類把關的工作流程。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775058496541-ewys.png","2026-04-01T13:27:38.750823+00:00",{"id":143,"slug":144,"title":145,"summary":146,"category":82,"image_url":147,"cover_image":147,"language":19,"created_at":148},"96d8e8c8-1edd-475d-9145-b1e7a1b02b65","mcp-explained-from-prompts-to-production-zh","MCP 怎麼把提示詞變工作流","MCP 讓 AI 能用標準介面讀資料、叫工具、要確認。Zoho 用 elicitation 拆解它怎麼把助手帶進正式工作流程。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775050818756-mope.png","2026-04-01T09:24:39.321274+00:00",{"id":150,"slug":151,"title":152,"summary":153,"category":82,"image_url":154,"cover_image":154,"language":19,"created_at":155},"5bede67f-e21c-413d-9ab8-54a3c3d26227","googles-2026-ai-agent-report-decoded-zh","Google 2026 AI Agent 報告解讀","Google Cloud 調查 3,466 位企業決策者，整理出 AI Agent 在 2026 年的落地現況。從 52% 已上線、88% 回報正 ROI，到客服、安全、人才訓練的變化，這份報告其實在講企業怎麼把 Agent 接進真實工作流程。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774578433073-hett.png","2026-03-26T11:15:22.651956+00:00",{"id":157,"slug":158,"title":159,"summary":160,"category":17,"image_url":161,"cover_image":161,"language":19,"created_at":162},"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",{"id":164,"slug":165,"title":166,"summary":167,"category":111,"image_url":168,"cover_image":168,"language":19,"created_at":169},"855cd52f-6fab-46cc-a7c1-42195e8a0de4","surepath-real-time-mcp-policy-controls-zh","SurePath 推出即時 MCP 政策控管","SurePath AI 發表 MCP Policy Controls，主打在工具呼叫前即時判斷 AI app 可用哪些 MCP server 與工具。重點不在聊天內容，而在 AI 會不會拿著你的身分去動 Google Drive、Salesforce 或 AWS。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774517122288-9km4.png","2026-03-26T07:57:40.77233+00:00",{"id":171,"slug":172,"title":173,"summary":174,"category":17,"image_url":175,"cover_image":175,"language":19,"created_at":176},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","Accenture 與 Mistral AI 簽下多年合作，主打企業可控、可落地的主權 AI。重點放在歐洲市場，涵蓋部署、訓練、認證與內部導入，瞄準金融、醫療、公部門等高合規產業。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774516635735-scir.png","2026-03-26T07:38:14.818906+00:00"]