Articles
Self-service data and analytics has reached “the slope of enlightenment.” How do CIOs see this trend taking root in their organizations?
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If analytics has been largely driven by big data sets in the past, that could be about to change as enterprises start looking at the benefits of small data.
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While Gartner reports Microsoft Power BI's domination of the market there are other effective alternatives for those that do not want to go that route.
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Companies that have seen a positive revenue growth collect more CX data. But harvesting data is not enough. Here is where enterprises need to invest.
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Are CIOs ready for what two Harvard School Business professors are calling the Age of AI?
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The untapped potential intelligence within unstructured content is driving new practices, new technologies and new roles.
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With more data entering the digital workplace, enterprises are increasingly turning to analytics to help them manage the growing problem. Here's why.
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Business intelligence has been around for awhile. AI, however, looks set to take its place. But will it? In data driven enterprises, there is a role for both.
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Machine learning and analytics are terms that are often interchanged. While there are differences, they are, in fact, very similar.
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Expensive to acquire, challenging to organize, essential to protect. An organization’s data is often both a prized asset and a source of angst.
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As exciting as it is to add AI to a productivity tool, the reality is the end results are going to be limited no matter how sophisticated the AI is.
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Self-learning enterprises use data to put them at an advantage over their competition.
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We catch up with data experts who suggest ways for data scientists to communicate with data citizens.
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It's not enough to have the data and tools — organizations need a clear change management plan to make the most of this rich business source.
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