As enterprise AI shifts from simple experimentation to autonomous action, organizations face hallucinations, context fragmentation, and ungoverned data pipelines. According to MIT’s Project NANDA, 95% of enterprise generative AI pilots fail to produce a measurable P&L impact — primarily due to data integration and [operational readiness](https://www.denodo.com/en/solutions/by-use-case/improving-operational-efficiency-agility-and-resilience) challenges rather than model capability (“From AI Readiness to AI in Action,” page 37).

This **Enterprise AI World Sourcebook** provides a practical, expert-led roadmap for transforming AI pilots into scalable, high-performing enterprise deployments through context engineering, semantic layers, real-time data integration, and agentic orchestration.

Download the sourcebook to learn how to build [AI-ready](https://www.denodo.com/en) data foundations, active context layers, and reusable data products that eliminate model hallucinations and inaccuracies, empowering AI agents to deliver measurable business value.



 

 

 

  

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