Articles
Lack of transparency into machine learning behavior causes issues of trust. Businesses must overcome these issues before it can adapt and use AI technology.
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According to a recent research, many data scientists are unhappy and feel under-appreciated. We take a look at why and what can you do to fix it.
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LinkedIn is full of between gig data scientists. Has the sexiest job lost its allure?
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Data scientists and data engineers are often viewed interchangeably to those not in the industry, but their roles are quite distinct.
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Loyalty is complicated — and when it comes to the relationship between brands and consumers, it has become increasingly challenging to attain.
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Common data roles explained.
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Data science, when done right, can give businesses insights otherwise unachievable. But managers often fail to give their analysts the space to experiment
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When hiring data scientists, vet candidates for passion, humility and don't sweat the tech talk.
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When Looker opens its annual user conference JOIN 2017 at the Palace of Fine Arts Theater in San Francisco today, 700 business intelligence (BI) enthusiasts will be in attendance to see what the latest version of the data platform, Looker 5, contains.
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If Salesforce executive vice president Stephanie Buscemi did her job right today, her audience at the Chicago stop of the Salesforce World Tour is now convinced the powers of a data scientist are at their fingertips.
Assuming they adopt Salesforce Einstein Analytics, that is.
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Gartner gave its analysis of advanced analytics platforms a new name, but retained four of the same vendors as industry leaders for the second consecutive year.
RapidMiner, KNIME, SAS and IBM lead Gartner's Magic Quadrant for Data Science Platforms.
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Women earn more than 50 percent of the bachelor's degrees issued in the US, but still trail men when it comes to degrees granted in Science, Technology, Engineering and Mathematics (STEM) fields.
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Business intelligence and big data have an unresolved conflict.
2016 was slated to be the year that big data projects finally delivered on the promises of profitability. Yet, 12 months later we’re still sitting on piles and piles of data as big data solutions languish in the corner.
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Data science is a trending topic right now because companies are scrambling to find candidates to fit this position.
Interest in working in this industry is growing, but not at a fast enough rate. A McKinsey study predicts that by 2018, there will be a need for 490,000 data science jobs in the United States but only 200,000 qualified candidates
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