Share |

Content about cellular telephone

October 29, 2012

As part of its 2013-and-beyond trends predictions, Gartner says 4.4m big data jobs will be create over the next three years - but only a third will be filled.

Analyst company Gartner has revealed its IT predictions for 2013, considering the development and knock-on effects of key market trends including big data, cloud computing, bring your own device (BYOD) and Windows 8.

September 20, 2012

Human Face of Big Data set to hit the mainstream

A project beginning next week which includes a mobile app, photgraphy book, documentaries, education and events around the globe will bring the huge range of effects of big data in front of us all.

A new multi-faceted media project aimed at exploring and visualising the huge influences that big data is having on the world is now underway.

‘The Human Face of Big Data’ comprises a mobile phone app, an education resource and several documentary platforms. These include events, a book which will go on sale in November, and a TV documentary to be aired next year.

August 7, 2012

Big Data Talk 008: Big data - austerity buster

Mark Young thinks big data could be the development which finally allows us to lift our faltering economy. Here’s how.

There’s one thing that practically everyone agrees on when it comes to the economy. To get it moving again, people have to be willing to spend money.

June 14, 2012

Big data in practice - what it's used for sector-by-sector

The breadth and scope of what can be achieved using big data is endless. Here we map the key applications across different industries. This live list will be continually updated.

There are truly no bounds to the scope and breadth of what can be achieved with big data. Here, we detail some of the most prominent applications of big data within leading industries and – where necessary – by job function.

May 28, 2012

Jason Titus, Shazam: Pitch perfect

For a decade now Shazam, the song identification mobile phone app, has been settling bets, discovering new artists and unearthing guilty pleasures for its users. With over a million and half new users each week, the company’s recent growth has been exponential and its big data analytics have opened a range of new possibilities for expansion. Dominic Pollard visited the company’s London headquarters (that’s right, Shazam is a UK company) to speak to its CTO Jason Titus to find out the magic behind the technology.

A magical experience

For those of you who are unfamiliar with Shazam, it’s a mobile app that allows the user to find out the artist and name of any song they hear. Within just a few seconds, that nagging question of ‘oh, what is this song?’ can be answered with one click of a button. As CTO Jason Titus says, “Shazam is like a unique, magical experience.”

April 27, 2012

Big data lends a hand

Money lender ZestCash claims big data will increase the number of successful applicants by 25 per cent.

ZestCash, an online loan provider, claims that it will be able to lend 25 per cent more money by using a big data-based credit assessment method.

The California-based company, founded by former Google CIO Douglas Merrill, will use data from other creditors such as mobile phone companies and payday lenders to create a more accurate system for determining the outcome of loan applications. By analysing multiple sources of data ZestCash will be able to decide how much to lend an applicant and at what rate.

March 29, 2012

Near Field Communication: The latest tool for customer insight

Despite having been around for more than a decade, only now is Near Field Communication (NFC) beginning to make a serious assault on the marketing industry. Mark Young explores its potential to become the latest tool in companies’ quest for in-depth and accurate customer insight.

March 27, 2012

Big Data Talk 002: Putting data into perspective

If we don't understand the context of our data, we may make misinformed decisions. Mark Young rounds up a few of the banana skins.

Armed with hordes of new data from social media, the ‘Internet of things’ and generally just because we’ve developed an insatiable hunger to record everything we can, we’re all chomping at the bit to turn our newly acquired insight into increases in the bottom line. But for this to materialise we may have to spend a little longer understanding the whys and the wherefores of the data we’re using.

Here are some ways that our data may lead us to false beliefs: