Shivon Zilis on Twitter: "@DavidVandegrift @textio I hear you, though when you have time to fill / candidate quality data you understand of which postings bad / good" / Twitter

What 15 million job postings can tell you about yours:

's human/machine collaboration platform xconomy.com/seattle/2016/0 #proudinvestor

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As with most AI, result is only as good as the training data. Quality assessment of prev postings feels like the bottleneck

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I hear you, though when you have time to fill / candidate quality data you understand of which postings bad / good

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Pure expert systems don't have data w/outcomes + scale to compete. Some have tried. They don't work too well here.

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No doubt, too complex. But value-dense findings have some place right? Some insights hard to uncover in scaled tagging

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