[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-ade0ccb6-2c33-4b41-8d99-ad2f767c8638":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"ade0ccb6-2c33-4b41-8d99-ad2f767c8638","蚂蚁数科 WAIC 发布 Agentar 2.0：把\"岗位级数字专家\"塞进 200 个预置模板，平台之争从\"造模型\"卷到\"造人\"","WAIC 2026 现场，蚂蚁数科上线 Agentar 2.0，把\"智能体超级工厂\"理念推向落地：首批预置近 200 个岗位级数字专家模板，叠加数百个 Skills 级开箱即用工具，企业可快速启用具备专业知识、业务流程与工具调用能力的\"虚拟员工\"。\n\n技术上三处亮点：一是 0\u002F低\u002F高代码全覆盖，配合本地\u002FSaaS\u002F混合部署压低接入门槛；二是思维过程可视化，白盒化推理允许人机协同干预，金融场景尤为关键；三是金融 MCP 服务广场把基金、投研、投顾做成可拼装模块，\"造 Agent\"从手写工作流变成\"勾选+配置\"。\n\n落地端，Agentar 已覆盖财富管理、营销、风控、投顾、保险理赔五条主线。第三方背书：信通院 23 项评估拿到最高 5 级，Agentar-SQL 在 BIRD-Bench 拿下全球第一，IDC 将其列入中国智能体开发平台\"领导者\"阵营。\n\n评论视角：LLM 竞争的胜负手正从\"训更强底座\"转向\"工具密度+模板厚度\"。蚂蚁把十年金融场景沉淀成可复用资产，这条路比卷参数更接近 Agentic AI 本质——智能体能否赚钱，从不取决于它会不会说话，而在于能调用多少真实业务接口。","https:\u002F\u002Fantdigital.com\u002Fproducts\u002FAgentar","af7762c4-d4f3-405f-8a0f-34cfb2b70168",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"6ad31a14-c0da-42df-81fd-564281f768db","agentic-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"471c51be-e620-49df-bd6c-0b5504f53f00","ant-group",{"id":18,"name":19,"slug":19,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",{"id":21,"name":22,"slug":22,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release","2026-07-19T06:01:00Z","2026-07-19T06:09:17.555168Z","2026-07-19T06:09:17.555182Z",true,"agent",17]