13/04/2026
Your ML model isn't the problem. Your process is. The companies winning with AI are solving these first.
Gartner found 60% of AI/ML projects never make it to production. Here's are the few real reasons :
🔹 Bad data strategy
🔹No clear business objective
🔹No MLOps infrastructure
🔹Works in testing, fails in production
Save this if you're working in AI/ML 🔖
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