Articles
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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Every day, technology industry changes and disruptions impact enterprises around the world — a new product on the market, an innovative startup on the scene or a bright leader paving a unique path.
While these changes occur center stage, there’s another evolution taking place behind the scenes within every enterprise.
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What does it mean to have the sexiest job du jour?
As a data scientist in Silicon Valley, I get asked that (or a similar) question frequently.
The data science field has received a great deal of attention in the past few years. Harvard Business Review called data science the
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Business intelligence and analytics dashboards are valuable tools that have long helped businesses monitor their performance.
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There are two things anyone who has shelled out big bucks to become a data scientist understands: 1) it takes time to learn the necessary skills and 2) there may not be an immediate payoff.
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A true analytics culture is a relatively rare thing.
Many of the country’s largest and most respected companies aren’t entirely data driven. Yet a typical Fortune 1000 company will garner $65 million in additional net income with just a 10% increase in data accessibility.
So what’s holding up the
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Quit Searching, Start Working
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Data science promises us professionals who understand how to make data useful. But do we know what it takes to be a data scientist and if so, do we know how to teach those skills to others?
As a concept, data science isn’t new, but our interest in it has
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You’ve been there. In the doctor’s office that is.
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