你的“智能”ITSM是否建立在破碎的基础上?🧐

📄 中文摘要

90%的ServiceNow延迟是自我造成的,企业SaaS常被视为“低代码”黑箱,忽视了大O符号的适用性。为了迎接Agentic AI时代,必须进行“基础层”修复,而非仅仅表面修饰。遗留的技术债务可能会阻碍2026年的创新,因此需要重构引擎,而不是仅仅给汽车涂漆。

📄 English Summary

Is your "Intelligent" ITSM running on a broken foundation? 🧐

A significant portion of ServiceNow lag, estimated at 90%, is self-inflicted due to the perception of enterprise SaaS as a 'low-code' black box, overlooking the relevance of Big O notation. To prepare for the Agentic AI era, ground-level fixes are essential rather than superficial enhancements. Legacy technical debt can stifle innovation in 2026, emphasizing the need to refactor the engine instead of merely painting the car.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等