David Sims

David Sims is an editor and writer working at the intersection of technology, economics, and management (T n $ n M). He is an editor with the Management Innovation eXchange (hackmanagement.com) and writes frequently on web technology and commerce. Previous gigs include editor with the McKinsey Quarterly, editorial director of the O'Reilly Network, and carpenter's apprentice.

Why Uber’s data fascinates a neuroscientist

Why Uber’s data fascinates a neuroscientist

The unique relationship between a brain expert and a car-sharing service.

Neuroscientist Bradley Voytek's interest in networks and nodes goes beyond the human brain. Here, he discusses the data generated by car-service company Uber and how the company has influenced his research.

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Big data thwarts fraud

Report excerpt: Huge datasets and sophisticated analytics protect payment platforms from foul play.

Web-native payment platforms have a tremendous challenge combating fraud, but the solutions they have devised to deal with it have created enormous new opportunities. This is an excerpt from the "ePayments: Emerging Platforms, Embracing Mobile and Confronting Identity" report.

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The “dying craft” of data on discs

Urban Mapping's Ian White on the shift toward data as a service.

Urban Mapping CEO Ian White discusses the changing way that data is being sold, and the move to providing data as a service.

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3 skills a data scientist needs

3 skills a data scientist needs

LinkedIn's Pete Skomoroch on the key capabilities of data scientists.

In this brief video interview, LinkedIn senior research scientist Pete Skomoroch reveals the three core skills of data scientists.

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Backtype: Using big data to make sense of social media

Nathan Marz on the data tools that help marketers understand their social media efforts.

Nathan Marz of Backtype discusses his work with Hadoop, Cascading and Clojure.

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Big data faster: A conversation with Bradford Stephens

Big data faster: A conversation with Bradford Stephens

The founder of Drawn to Scale explains how his database platform does simple things quickly.

Bradford Stephens, founder of of Drawn to Scale, discusses big data systems that work in "user time."

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Big data, but with a familiar face

Big data, but with a familiar face

Martin Hall explains how Karmasphere is integrating Hadoop into enterprises.

You don't have to throw away existing investments in skills and tools to use Hadoop for big data, as Karmasphere's Martin Hall explains.

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Closing the gap between big data and people who need It

Stefan Groschupf on the 3 important steps for working with big data.

Datameer CEO Stefan Groschupf wants to reduce the distance between data analysis and data decisions.

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