A Practical Guide to Measuring Business Impact in AI/ML Projects

Machine Learning Tech Brief By HackerNoon

This story was originally published on HackerNoon at: https://hackernoon.com/a-practical-guide-to-measuring-business-impact-in-aiml-projects.
Measuring AI impact made clear: experiments, causal methods, and sanity checks to separate real improvement from coincidence.
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Behind every “AI success” headline lies a harder question - did it really work? This article gives a structured look at how to measure what your system truly changes - starting with experiments, extending to causal methods, and ending with practical checks for trust. A readable overview for those entering the space between data science and product impact - a space still few teams navigate well.