--- title: Connecting AI agents to enterprise knowledge | daily.dev description: Sponsored research report by MIT Technology Review Insights, in partnership with Neo4j, surveying 300 data and AI executives on why enterprise agentic AI... canonical: https://daily.dev/posts/connecting-ai-agents-to-enterprise-knowledge-wjpvnq4xg twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Connecting AI agents to enterprise knowledge | daily.dev og:description: Sponsored research report by MIT Technology Review Insights, in partnership with Neo4j, surveying 300 data and AI executives on why enterprise agentic AI... og:url: https://daily.dev/posts/connecting-ai-agents-to-enterprise-knowledge-wjpvnq4xg og:image: https://api.daily.dev/og/posts/WjpVnq4xg.png og:image:alt: Connecting AI agents to enterprise knowledge og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Connecting AI agents to enterprise knowledge **[MIT Technology Review](https://daily.dev/sources/technologyreview)** · 4 min read · 0 upvotes · 0 comments ## Summary Sponsored research report by MIT Technology Review Insights, in partnership with Neo4j, surveying 300 data and AI executives on why enterprise agentic AI projects stall. Key findings: only 34% of agentic AI projects reach production, with data fragmentation and lack of knowledge/context cited as major blockers. Organizations with stronger semantic knowledge capabilities see higher production rates (61% on average). The report argues a knowledge layer linking data and agents, including knowledge graphs, RAG pipelines, and AI-ready APIs, is key to scaling agentic AI. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Bridging the operational AI gap](https://daily.dev/posts/bridging-the-operational-ai-gap-knfesinoz) · MIT Technology Review · 0 upvotes · 0 comments - [Most enterprise AI spend still hasn’t left the lab](https://daily.dev/posts/most-enterprise-ai-spend-still-hasn-t-left-the-lab-67rnahvsv) · The Next Web · 0 upvotes · 0 comments - [How enterprises are preparing for agentic AI](https://daily.dev/posts/how-enterprises-are-preparing-for-agentic-ai-cz55ekhfk) · databricks · 0 upvotes · 0 comments - [Agentic AI: Why Enterprise AI Is Not Delivering on Its Promise](https://daily.dev/posts/agentic-ai-why-enterprise-ai-is-not-delivering-on-its-promise-szxzvstfv) · SingleStore · 2 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#rag](https://daily.dev/tags/rag), [#agentic-ai](https://daily.dev/tags/agentic-ai), [#neo4j](https://daily.dev/tags/neo4j) [View this post on daily.dev](https://daily.dev/posts/connecting-ai-agents-to-enterprise-knowledge-wjpvnq4xg) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Connecting AI agents to enterprise knowledge","url":"https://daily.dev/posts/connecting-ai-agents-to-enterprise-knowledge-wjpvnq4xg","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/connecting-ai-agents-to-enterprise-knowledge-wjpvnq4xg"},"datePublished":"2026-10-05T15:59:14.330Z","dateModified":"2026-10-05T16:03:42.258Z","description":"Sponsored research report by MIT Technology Review Insights, in partnership with Neo4j, surveying 300 data and AI executives on why enterprise agentic AI...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/22230893f6050ac6f657add3dae327f0?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/22230893f6050ac6f657add3dae327f0?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"MIT Technology Review","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"MIT Technology Review","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/a8d03889722f4f22b3986e0b395ff076","url":"https://daily.dev/sources/technologyreview"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/connecting-ai-agents-to-enterprise-knowledge-wjpvnq4xg","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,rag,agentic-ai,neo4j","timeRequired":"PT4M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"MIT Technology Review","item":"https://daily.dev/sources/technologyreview"},{"@type":"ListItem","position":3,"name":"Connecting AI agents to enterprise knowledge"}]} ```