公司警告企业人工智能成本因预测和生成系统的整合不良而上升. Firms warn enterprise AI costs rise due to poor integration of predictive and generative systems.

一家全球人工智能工程公司警告说, 企业扩展人工智能的最大障碍不是性能, 而是从一开始就无法整合预测和生成系统. A global AI engineering firm warns that the biggest obstacle to scaling enterprise AI is not performance, but the failure to integrate predictive and generative systems from the start. 赛贡科技公司表示,许多企业浪费了60-70%的项目成本, 因为他们分别构建AI模型并迟延尝试整合, 这导致几个月的重制. Saigon Technology says many companies waste 60-70% of project costs because they build AI models separately and attempt integration late, causing months of rework. 该公司建议组织优先考虑集成架构,而不是开发,以确保系统有效协作. The firm advises organizations to prioritize integration architecture before development to ensure systems work together effectively.