Why Waterfall Fails AI Projects

One of the most common traps I see is brilliant teams trying to force AI work into old-school Waterfall methodology. In this soundbite, I explain why it's a slow-motion car crash. AI isn't predictable coding—it's experimental science where the final result is a discovery, not a pre-written specification.

I've watched teams spend months writing massive requirements docs only to discover their data was unusable or the business goal had shifted. If you're managing AI initiatives, this 15-second insight could save you months of frustration.

Are you still running AI projects with traditional planning methods? Drop your thoughts below—I read every comment.

Видео Why Waterfall Fails AI Projects канала DATAFORT Consultancy