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.

Data Science

Big data breaches aren’t going away any time soon and the recent revelation that Russia’s criminal underworld is in possession of account data for 272.3 million people is a testament to that. Initially announced by Reuters at the start of May but constantly referred to by other media outlets ever

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Data Science

Every day, human beings create 2.5 quintillion bytes of data – data that is generated, accessed and shared on laptops, mobile devices and social media. In the political realm, data drives today’s campaigns – from studying voter demographics and conducting outreach to tailoring and testing specific messages. Data, Data, Everywhere

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Data ScienceStartups

The “unreasonable effectiveness” of data for machine-learning applications has been widely debated over the years (see here, here and here). It has also been suggested that many major breakthroughs in the field of Artificial Intelligence have not been constrained by algorithmic advances but by the availability of high-quality datasets (see

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Big DataData Science

Platforms used for big data are a bit of a conundrum. Big data and data science are two of the biggest business buzzwords, and the biggest companies around the world are hard at work to get ahead of the data curve. Normally, when it comes to big money opportunities, the

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Data Science

The rise of data science in the last decade has been driven by the ease of access to deep data and significant reductions in the costs associated with processing it. These days anyone with a credit card can now setup a cloud-based data warehouse and tracking system within minutes, but

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BI & AnalyticsData Science

Data lakes are based on a simple idea: You can store and analyze massive amounts of raw data at scale. But why data lakes? Here are five reasons why IT leaders are excited about this idea: Unfortunately, lots of companies end up with a data swamp instead of a data

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Data Science

Everyone in the data chain has to worry about the question of ethics and security. Individuals want to protect their data. Companies and researchers want to learn from it. Big data, like many other emerging areas of technology, suffer from very real ethical problems. Regulations, governing bodies, and even general

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Data Science

You know who you are. You’re a Data Scientist. In interview rooms across the world, fat cat executives are pushing contracts under your noses with extortionately high numbers on them. What a time to be one of a few doing backstrokes at the world’s most exclusive pool party, right!? What

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Big DataData Science

Amusement parks are big. Rides cost several million dollars, and operators need to keep track of thousands of visitors every day. Big data may be just the solution amusement parks have been looking for, but it won’t be an easy transition. From updating data practices and hardware to convincing customers

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Big DataData Science

The typical Hollywood portrayal of spywork makes the field appear a lot more glamorous than it really is. For better or worse, intelligence agencies really feature a lot of sorting through files, documents, numbers, and other data, most of it done in office buildings with employees hunched over computers. While

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