How a Looming Talent Gap Will Crush Enterprise Hopes for Big Data | ReadWriteWeb

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Large enterprises are putting a lot of money and effort into making sure they have the latest and greatest in Hadoop and other big data infrastructure tools, but it turns out their IT teams are far from prepared to actually use those tools once they are in place.

That’s one observation from Jeremy Howard, president and chief scientist of Kaggle, which uses crowdsourcing techniques to provide statistical and data analytic services for clients.

“A lot of companies don’t know how to find data scientists, and don’t understand data science,” Howard explained. “These enterprise companies can’t implement a proper data analytical solution because they have no data talent.”

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