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 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 data foundations, active context layers, and reusable data products that eliminate model hallucinations and inaccuracies, empowering AI agents to deliver measurable business value.
