How to Identify AI Project Red Flags Before They Cause Failure
AI project failure is predictable: 60-80% of failed projects exhibit 7 common red flags within the first 4-8 weeks, including missing success metrics, undiscovered data quality problems, no production deployment plan, and absent governance. Catching these at week 4 instead of month 6 prevents 3-6 month delivery delays. Key Takeaways If your AI project lacks […]
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, […]
