Posts In Category

Big Data

Big DataContributorsFeaturedUnderstanding Big Data

Organizations yearn order and simplicity over chaos and confusion, but the data-driven era we live in challenges these desires on a daily basis. Seemingly every day, massive amounts of transactional and streaming data is being introduced into enterprises. This data must be collected, deciphered, shared, and acted upon. Cloud-native technologies

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Big DataData NativesData ScienceData Science 101FeaturedTech Trends

The success of data-driven projects has quite a few challenges and barriers. Here is a look at how you could overcome them by simply asking yourself three questions. Data has become probably the most valuable asset that companies could have nowadays. It can give you insights into your customers’ behaviour

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Big DataData NativesData ScienceFeaturedInternet of ThingsMachine Learning

The Ruhr region known to be a steel and coal mine hub in Europe is reimagining the entrepreneurial spirit which was it’s foundation 150 to 200 years ago. This time lies a huge opportunity for data-driven startups to innovate and collaborate with the big traditional corporates that exist in the

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BI & AnalyticsBig DataContributorsFeaturedTechnology & IT

In the face of overwhelming evidence, consumers can no longer ignore the fact that major tech and social media companies engage in mass data harvesting and the selling of user information to third parties – one need only look to the recent Cambridge Analytica scandal (which impacted not only the users

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Big DataContributorsEducation

We live in a world of 1’s and 0’s, a world of data. Consumers and businesses send and receive enormous amounts of data all day, every day. From smartphones that learn how the user behaves to purchasing decisions that inform marketing messaging to analytics that can isolate flaws in a

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Big DataContributorsFeatured

Data management strategies have undergone a significant change over the last decade. A decade ago the responsibility of data management laid with the IT department, while data analytics were performed in other departments individually based on the needs. Now, we are seeing a significant shift towards a more centralized approach

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Artificial IntelligenceBig DataData ScienceFeaturedMachine LearningTech Trends

It’s easier to get a job if you are an Artificial Intelligence (AI) or Machine Learning (ML) ‘expert’, and investors want to bet on companies which use the words AI or ML in their mission statements. And why should that not be the case? McKinsey estimates AI techniques have the

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Big DataContributorsCybersecurityFeatured

Car-generated data is set to transform the auto industry and the consumer driving experience, but there are significant challenges along the way.   What’s the most disruptive trend in the auto industry today? If you answered “electric engines” or “self-driving cars,” not so fast. The real game-changer for the industry

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Big DataData ScienceFeatured

What’s stopping business schools from catching up to the business world which relies heavily on Big Data and Data Science? Schools that can incorporate these into all areas of their educational offerings will be the ones that prepare students the best for the challenges they’ll face today — and the

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Big DataData ScienceFeaturedTechnology & IT

If we’re talking about sports analytics, I have to bring up the “Moneyball” reference. Honestly speaking though, sports analytics has come a really long way from the times of Moneyball. Moneyball got the ball rolling, and, boy! has the ball gathered enormous momentum today. Better technology surprisingly advanced real-time video

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