I disagree that a "kaggle problem" style problem is trivially easy, but I strongly agree with the sentiment that dealing with unstructured data is often a much bigger, deeper, and broader problem than the choice of a particular algorithm or ensemble of them.
The ability to efficiently and effectively derive insights from such data is scarce.
Right, by "kaggle problem" I mean the general case where we roughly know what we're going to want to have on the right hand side of the model we're going to run (plus or minus some feature engineering, model choice and other hyperparameter specification, etc.)
The ability to efficiently and effectively derive insights from such data is scarce.