MIT finds 66% of AI agent projects stall on knowledge gap
only 34% of orgs' agentic ai projects make it to production due to lack of knowledge, affecting decision making.
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.