Celonis 首席科学家：企业 AI 落地关键在于上下文感知
原标题：Making the case for context-aware AI
AI 摘要
MIT Technology Review 的 Business Lab 播客与 Celonis 合作，邀请 Celonis 企业 AI 首席科学家、MIT 教授 Devavrat Shah 讨论企业 AI 的落地瓶颈。Shah 认为，AI 代理若缺乏对业务流程和约束条件的理解，就会做出错误决策或浪费算力，因此需要将 AI 连接到企业已有的流程与数据，构建上下文层，并让代理在护栏内运行、由人审核建议。他建议企业从具体业务决策入手，先找出最困难的环节进行测试，并投资员工教育，让员工理解 AI 输出。
正文节选
Sponsored In partnership withCelonis Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an understanding of how a business actually operates, even powerful models can miss the constraints and relationships that determine whether a decision is the right one. As companies look to move AI from experimentation into everyday operations, the challenge ahead is giving technology the context to act usefully within complex business proces