MIT：66%的AI智能代理项目因知识差距受阻
由于缺乏知识，只有34%的组织的自主AI项目能够投入生产，影响决策的准确性。
enterprises face challenges in deploying and scaling agentic ai projects due to a lack of knowledge, which is essential for context-rich decision making. a survey of 300 executives found that 34% of agentic ai projects make it to production, with legacy data systems and data fragmentation being key points of failure. organizations plan to invest in retrieval technologies, knowledge graphs, and ai evaluation agents to strengthen the link between data and agents. this will enable more efficient and reliable ai decision making.