企业人工智能的发展重心正在发生转变。1随着预测模型性能优势已被充分验证，企业的关注焦点从"预测模型性能"转向了"自主决策与商业意图对齐"。1这一转变标志着AI分析的方式从被动回顾式评估演进为主动预见式决策。
Everest Group合伙人Vishal Gupta指出，企业的思维方式正在改变。1他表示："企业不再采用后向看待的视角，他们想要更前瞻性思维"。1为适应这一需求，新型预测引擎应运而生，支持实时训练和非结构化数据分析，突破了传统季度性模型更新的限制。1Gupta进一步指出："'分析'一词正在被AI所取代，一切都在成为AI"，1这反映了企业正在基于深度学习和生成式AI等技术，实现从被动数据分析向自动化决策的根本转变。1
Enterprise artificial intelligence is undergoing a fundamental shift in focus as organizations move beyond validating predictive model performance toward building autonomous decision-making systems aligned with business objectives 1. The central question for corporate AI development in 2026 has evolved from assessing prediction accuracy to ensuring that self-directed systems operate in harmony with organizational intent 1.
According to Vishal Gupta, a partner at Everest Group, this transition reflects changing organizational mindsets: "Enterprises are no longer taking a backward-looking perspective; they want more forward-thinking" 1. Next-generation predictive engines now enable real-time model training and analysis of unstructured data, moving beyond the constraints of quarterly model updates 1. Gupta further observed that the terminology itself is being transformed by technological advances, stating: "In many ways, the term 'analytics' is being replaced by AI—everything is becoming AI" 1.
评论
还没有评论，欢迎留下第一条。