AI Proof of Concept vs Production Deployment: Why 87% of Projects Never Scale
87% of AI projects fail at production because POCs test algorithms in isolation while production needs operational infrastructure costing 10x to 20x more. The gap is engineering maturity: model versioning, drift detection, explainability, and incident response that POCs deliberately omit. Key Takeaways Production AI systems require 17 foundational capabilities (model versioning, automated CI/CD, drift detection, […]
