Speaking at Infosecurity North America on "Demystifying the Science of Machine Learning in Endpoint Security" – Jack Danahy, CTO of Barkly pointed to examples of how machine learning was used in sustaining Bordeaux wine and in baseball (as dramatized in the movie Moneyball), and said that as it is "used all over the place", he said that often people ask what it means, what does it do and how can users take advantage of it. Danahy said that having data and knowing what to look for has become "so popular as computers got so powerful and are churning through tons of questions on data", and we either need computers that are powerful and have enough resources to gather enough data to make sense, or a better solution. "The data also has to be good but there is also a limit on what you're looking for: in the case of Moneyball [Billy Bean] was not sure what he was looking for but with security, think about looking at data, and the first challenge is what to look for within the data and what feature or factor will we look for." Danahy said that machine learning starts with supervision, which means teaching the system on one set of samples whether they are good or bad, and samples are arranged into training sets and the job of machine learning is to learn from those samples. "With tens of thousands of samples, how to train those to categorize them in right way," he said.