Why Do 80% of Industrial AI Projects Fail Before They Even Get Started (and How to Fix It)

You approved the budget. Hired a data team. Launched an AI proof of concept on your production line. Three months later, the model still won't scale, your experts are losing motivation, and your CIO is demanding answers. The problem isn't the algorithm. It's an invisible stock of data that no one has taken the time to qualify: your industrial backlog.