Why AI Sometimes Fails And How Data Engineering Can Fix It? AI projects fail more often than they succeed—and it’s usually due to the data, not the tech. This article explores common reasons AI doesn't deliver value and explains how modern data engineering practices can change the game. From integrating clean, scalable data pipelines to ensuring real-time availability, learn what it takes to get AI truly production-ready. Ideal for CTOs, data engineers, and AI strategists aiming to build sustainable success. https://complereinfosystem.com/why-ai-fails-data-engineering-fix