[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-governance":3},{"tag":4,"articles":9},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":8},"7b0fac77-bbf0-4376-9b1d-6f391b7b14ff","governance",0,null,[10,19],{"id":11,"slug":12,"title":13,"summary":14,"category":15,"image_url":16,"cover_image":16,"language":17,"created_at":18},"4adef3ab-9f07-4970-91cf-77b8b581b348","why-databricks-model-serving-is-right-default-zh","為什麼 Databricks Model Serving 是生產推論的正確預設","Databricks Model Serving 應該成為生產推論的預設選項，因為它把部署、治理與擴展整合在同一個平台，降低多模型團隊的營運成本。","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778692245329-a2wt.png","zh","2026-05-13T17:10:30.659153+00:00",{"id":20,"slug":21,"title":22,"summary":23,"category":24,"image_url":25,"cover_image":25,"language":17,"created_at":26},"8fc8bba8-e928-4e64-843e-179161c84453","ibm-think-2026-control-over-ai-zh","為什麼 IBM Think 2026 其實是在賣控制，不是在賣 AI","IBM Think 2026 的重點不是模型新鮮度，而是用治理、整合與控制，把企業 AI 變成可落地的系統。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778213446734-4vqz.png","2026-05-08T04:10:26.473593+00:00"]