Sizing AI/ML Projects: A Repeatable Method That Tracks Reality
Towards AI
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Machine Learning
Not the perfect estimate - a practical, repeatable methodology that has held up surprisingly well against what projects actually cost Why I am sharing this I have been sizing software, data, and AI/ML projects for the last 25 years. The technology keeps changing; the way estimates go wrong does not. Someone opens a document, lists the components, puts an hours guess next to each, sums the column, and sends it. By the time reality arrives, the number is fiction. What follows is the method I keep coming back to for AI/ML work. I am not claiming it is the best one on the market.