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How to Bridge the Data Science Talent Gap with Technology

Data scientists continue to be an elusive hire for organizations across industries. Here’s how automated machine learning can help organizations beat the data skills shortage and drive business growth.

As digital technologies continue to generate ever-larger quantities of data, organizations face the challenge of unleashing the value of that data. Consider this: our current daily data output is roughly 2.5 quintillion bytes or 2.5 exabytes per day which can be compared to half of all the words ever spoken by mankind! No wonder then that the demand for data scientists is at an all-time high. According to a recent LinkedIn report, in the U.S. alone, organizations are facing a massive shortage of data scientists with over 151,000 data scientist jobs going unfilled.

Source: hrtechnologist.com
Author: Sushman Biswas

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