Some thoughts about the "data quality in AI projects" conversation | Real teams doing AI
The way "data quality" is being talked about is wrong, it misses important points about the problem of data in real world AI projects. My view is that the largest room for improvement in model accuracy is not in the either/or of algorithm / data "quality".