Bridging The Data Scientist Talent Gap Starts With Defining The Current Role

We talk a lot about the lack of data being our biggest challenge in artificial intelligence. But the lack of data scientists follows close on its heels. Data science jobs are already difficult to fill, and according to The Quant Crunch report, demand is expected to rise 28% by 2020.

Schools may be racing to catch up with this quickly growing need, but the demand for data scientists is fast outpacing the speed at which students can be trained up and sent out into the workforce. So, what can artificial intelligence (AI) and machine learning (ML) vendors do about handling what is becoming a crippling skills shortage?

Author: Jeff Catlin

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