Posts In Category

Data Science

While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

ContributorsData Science

One company correctly predicted both Brexit and Trump’s victory, using data insights that most pollsters missed. This is how to make your own. The US presidential election results sent shock waves around the world and led us to question the validity of political polls, one of the longest-standing and most

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ContributorsData ScienceMachine Learning

There’s a lot of buzz around the term “Sentiment Analysis” and the various ways of doing it. Great! So you report with reasonable accuracies what the sentiment about a particular brand or product is. Opinion Mining and Sentiment Analysis After publishing this report, your client comes back to you and

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Case StudiesData NativesData Science

“Data is part of our new cultural identity, transforming the way we communicate, learn and interact.” – This is the credo of the Data Natives conference, and one of the speakers at the event, Klaas Bollhoefer from The unbelievable Machine Company (*um), is taking it one step further: He adds

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ContributorsData ScienceTechnology & IT

All over the world, companies are losing millions of dollars because of data loss and unexpected downtime.  This is a result of the majority of businesses being behind the times with respect to their data protection and restore plans, not to mention failed backups, and various compliance requirements being put

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ContributorsData ScienceTransportation & Logistics

The STORM team is back home. In 80 days, they have traveled the earth, showing that electric driving is possible – and very cool. They showed that a strong team can accomplish amazing things and change the world, by building their own bike and traveling around the world with it. Digital

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BI & AnalyticsContributorsData Science

Analysis is easy. It’s rational and straightforward. Understand the relatively linear set of steps for populating an analytic model and you’re set for success. Finding insights is the part of the data process that is hard. It requires the non-linear skill of interpretation. Interpretation is inexact, it requires judgement and

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ContributorsData ScienceTransportation & Logistics

The last stage of the STORM 80-day tour will be driven on November 2 – from Paris to Eindhoven, accompanied by many electrical vehicles. Hacking at ITility In the meantime, we used the results from the hackathon at Stanford University, to dig deeper into that same data set during the

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Big DataContributorsData Science

Relational databases have been in place for decades, but many organizational owners as well as administrators have come across the concept of big data. Big data defies the laws of relational databases and lets you store unstructured data. Basically, you can store anything and everything. As your data requirements increase,

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ContributorsData ScienceMarketing & Sales

Subscription box businesses are more popular than ever, with average site visits growing by 3,000% over the past three years and revenue skyrocketing (Loot Crate, a DataScience customer, was ranked No.1 on the Inc 5000 fastest growing companies list this year with a whopping 66,789% growth in revenue since 2013).

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ContributorsData ScienceTechnology & IT

The recent explosion in data, connectivity and computing power – combined with powerful, new analytics tools – has sparked huge interest in data science. In response, forward-thinking businesses are looking at how they can derive insights from big data analytics to better understand their customer base and give them a

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