News & Blogs

Industry News

How Big Data Became So Big

The New York Times
August 13, 2012 – THIS has been the crossover year for Big Data — as a concept, as a term and, yes, as a marketing tool. Big Data has sprung from the confines of technology circles into the mainstream. First, here are a few, well, data points: Big Data was a featured topic this year at the World Economic Forum in Davos, Switzerland, with a report titled “Big Data, Big Impact.” In March, the federal government announced $200 million in research programs for Big Data computing.

Blog

How Big Data is Transforming Search Engines into Personal Assistants

Greenplum Blog
August 9, 2012 – With Siri and Voice Search, Apple and Google are going head-to-head to create search products that behave more like personal assistants than a gateway to the Internet.

Industry News

The risk and rewards of a health data commons

O'Reilly Radar
August 9, 2012 – John Wilbanks on health data donation, contextual privacy, and open networks.

Industry News

Big data VC firm Data Collective steps out of the shadows

Gigaom
August 9, 2012 – Data Collective is a new venture capital firm focusing on seed-round investments in big data startups, from the infraastructure level up to analytics and applications. Among its collection of portfolio companies are Kaggle, MemSQL, Continuuity, Parse, Keen.io, Meteor, MongoHQ, Citus Data and Piston Cloud.

Industry News

For Google, keeping search relevant means baking big data into everything

GigaOm
August 8, 2012 – It’s a fashionable practice in the Valley to write off Google’s search business, but the company is putting its big data chops to the test to prove doubters wrong. In a Wednesday morning blog post, Google SVP of Search Amit Singhal announced that Google’s Knowledge Graph is now live across every English-speaking country in the world, and that voice search on mobile phones has been improved to understand user intent. For Google, it’s all about collecting and analyzing billions of data points to learn what each one really means.


Blog

Data Scientists Get Ranked

The New York Times
August 8, 2012 – What is the best way to rank statisticians? When you do find the best of a batch, are they, on average, out of the ordinary? Kaggle, which conducts pattern-finding competitions among data scientists, has started ranking its top performers. A somewhat less than scientific analysis — talking with them — reveals that their statistically minded outlook does tend to set them apart from the rest of us.

Industry News

Human Body On A Chip Could Speed Up Drug Development

Fast Co. Exist
August 8, 2012 – The Defense Advanced Research Projects Agency (DARPA), the military organization behind everything from GPS to hypertext, wants to bring us into a more humane and efficient era, where drugs can be tested on "organs on a chip" that allow scientists to see exactly how substances will affect people without giving them to living, breathing humans.

Industry News

London Olympics Get Gold Medal for Big Data

Forbes
August 8, 2012 – This year’s Olympics haven’t just been watched on television — they’ve been streamed live on computers, tablets, and smartphones. Olympic events, both popular and obscure, have also found a home within social media, where they trend on a nightly basis. But how much data will be created by the summer games?

Industry News

Hype Cycle for Cloud Computing Shows Enterprises Finding Value in Big Data, Virtualization

Forbes
August 7, 2012 – Enterprises are beginning to change their buying behaviors based on the deployment speed, economics and customization that cloud-based technologies provide. Gartner cautions however that enterprises are far from abandoning their on-premise models and applications entirely for the cloud.

Industry News

San Francisco, Boston Make List of Top Cities for Big Data Jobs

CIO Insight
August 6, 2012 – If you're looking for a career in big data, you might consider moving to Beantown, Frisco or St. Louie. Data scientists, IT specialists who conduct high-level data analyses and apply it to business projections and modeling, are in high demand in cities across the North America, as organizations grappled with an ever-increasing amount of information gathered from customers from social media sites, email and other platforms.


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