A recent LinkedIn study found that US-based businesses need more than 150,000 data scientist jobs filled while the AI industry as an entirety is expected to contribute $15.7 trillion to the global GDP by 2030. For companies, that means it will be mission-critical to figure out how exactly data scientists will fit into their organizations:
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40% of companies claim they are unable to hire or retain data talent due to a lack of supply.
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There is expected to be to another 2.7M new data-related job postings in the United States by 2020.
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There is a 20% increase in demand for data talent expected by 2020.
Correlation One released its Future of Data Talent Report, which helps organizations:
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Define a framework to identify the most important data workflows and roles.
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Establish a standard assessment methodology for accurately and efficiently evaluate data skills when hiring.
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