Connecting AI agents to enterprise knowledge

Summary

A survey of 300 data, AI, and technology executives by MIT Technology Review Insights finds that only about a third (34%) of organizations' agentic AI projects reach production. Legacy data systems, security and privacy concerns, and a lack of knowledge and context are the main points of failure. Data fragmentation was the top challenge to expanding agent access to knowledge, cited by 55% of respondents, while production leaders more often pointed to security and privacy concerns (72%).

Topics

• AI agents
• Retrieval-augmented generation