I will probably dive much deeper into this topic - many of my companies issues in knowledge management seem to be perfectly applicable to machine learning. Many issues in that field are regarding classification, that enable effective communication of knowlege in a fast growing organization.
Generally speaking machine learning is best applicable on highly repetative tasks (much data available) which has been done for a while. You can define success and failure for the training and testing data but solving the task is performed more along the lines of human intuition and experience.

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