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不止于模型,从数据到决策构建企业级人工智能全栈技术基础设施 数百家头部企业实践验证 DIP不只是数据平台,而是将现实业务世界结构化为AI可理解的系统表达。通过构建领域本体与业务关系网络,把数据转化为"可推理、可决策"的认知基础。 在DIP中,企业经验不再依赖个体,而被沉淀为系统规则:从"人脑直觉",进化为"机器可执行的决策逻辑"。 基于DOMA架构体系(Data / Ontology / Models / Agents),DIP核心解决三个问题: • 业务对象是什么 • 对象之间如何关联 • 哪些规则与约束必须被遵守 在政务、金融与产业等复杂场景中,DIP让AI在"业务语义…
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