“I’m so excited about this role because I love the mission of CloudFactory. … We have thousands and thousands of these workers that do things like data annotation and data processing for CloudFactory’s clients, and the kind of transformation that CloudFactory has brought to these folks’ lives was so inspiring.”
– Keith McCormick, Chief Data Science Advisor at CloudFactory
Welcome to OneTAKE Live! In this episode, host Ian Barkin speaks with Keith McCormick, the chief data science advisor at CloudFactory, about the complex world of big data, the value of democratizing analysis in an organization, how best to utilize analytics as a predictive tool, and much more!
There’s more data online than ever before — and when you apply just the right predictive model, sometimes it’s possible for organizations to effectively predict the future itself.
But you don’t start with a model; you start with raw, unstructured data. And selecting what variables you consider is where it gets complicated, according to Keith.
“There are still things that humans do so much faster and so much more effectively than the machines, and you’re selling the model short if you don’t widen the data set with those additional sources of information,” Keith explains, referencing an exercise he uses to teach data set modeling where students are asked to design a system to predict lost baggage at airports. “You could look at things like, ‘When did I check in?’ ‘When was the time of the flight?’ ‘Was there a connection?’ You can build a model just based on that structured data, but if you want a really good model, somewhere in there, there was a customer service interaction the day before the flight — you know, something like, ‘Am I allowed to bring this with me?’ or whatever. And if you bring that data in, then you’re going to do better.”
Join us and learn more about how big data and complex analytics are changing how we predict what’s coming next in the future of work on OneTAKE Live!