Big data set to boost EU economy by an additional 1.9 per cent by 2020.

Big Data holds the potential to boost economic growth in Europe by 1.9 per cent by 2020, according to a new report. But how will this be achieved and what needs to be done to try and ensure the benefits are equally spread?

Big data has the potential to contribute €206 billion to the European economy by 2020, a sum equivalent to a 1.9 per cent increase in the gross domestic product of the 28 member states, according to a new study published this week by the Warsaw Institute for Economic Studies (WISE)

To give a sense of the contribution this could make to revitalising national economies, a 1.9 per cent increase in GDP is equivalent to one full year of growth in the EU.

Enigma Raises $4.5M To Help Plumb The Depths And Derive Insights From Public Data.

NYC startup and TechCrunch Battlefield winner Enigma has raised $4.5 million in Series A funding, the company has revealed today. The new round was led by Comcast Ventures, and includes participation from American Express Ventures, Crosslink Capital and the New York Times Company. Some of the new funders are clearly strategic partners, who are interested in seeing where Enigma’s unique approach to mining public data can take them.

“Big Data Road Map.” The Association of the British Pharmaceutical Industry. 2013.

Big data is a common theme underpinning many of the proposed solutions to the challenges facing the NHS, the life sciences research community and the pharmaceutical industry. Big data technologies make it easier to work with large datasets, link different datasets, detect patterns in real time, predict outcomes, undertake dynamic risk scoring and test hypotheses.

Big data startups pull in big money in 2013.

Investors have pumped $3.6 billion into startups focused on big data this year. Not too shabby: It’s almost three quarters of all the money that’s gone into such companies from 2008 to 2012, according to a new infographic out today from burgeoning site Big Data Startups.

The infographic includes a roundup of the 10 data startups that have grabbed the most funding to date. Here are the top five:

IBM makes Watson available via API

IBM didn’t have to flaunt its debatable cloud dominance over Amazon Web Services on the sides of public buses if it wanted to upstage the cloud kingpin at its user conference this week — Big Blue could have just led with the news that its famous, Jeopardy!-champ-destroying Watson system is now available for as a cloud service. That’s right: Developers who want to incorporate Watson’s ability to understand natural language and provide answers need only have their applications make a REST API call to IBM’s new Watson Developers Cloud.

If Facebook Can Profit from Your Data, Why Can’t You?

It has become the Internet’s defining business model: free online services make their money by feeding on all the personal data generated by their users. Think Facebook, Google, and LinkedIn, and how they serve targeted ads based on your preferences and interests, or make deals to share collected data with other companies (see “What Facebook Knows”).

Big Data is Getting Bigger as a Startup Opportunity.

Even though “Big Data” has now been around for a few years, the opportunities for startups seem to keep growing, just as the amount of data keeps growing. According to IBM, companies have captured more data in the last two years than in the previous 2000 years. This data comes from sensors, social media posts, digital pictures and videos, purchase transactions, everywhere.

Telefónica launches Telefónica Dynamic Insights - a new global big data business unit

Telefónica Digital today announced the establishment of Telefónica Dynamic Insights, a new global business unit, dedicated to identifying and unlocking the potential opportunities for creating value from ‘big data’.

Telefónica Dynamic Insights will provide companies and public sector organisations around the world with analytical insights that enable them to become more effective. It will develop a range of products and services using different data sets, including machine-to-machine data, and anonymised and aggregated mobile network data.

How Wireless Carriers Are Monetizing Your Movements

Wireless operators have access to an unprecedented volume of information about users’ real-world activities, but for years these massive data troves were put to little use other than for internal planning and marketing.

This data is under lock and key no more. Under pressure to seek new revenue streams (see “AT&T Looks to Outside Developers for Innovation”), a growing number of mobile carriers are now carefully mining, packaging, and repurposing their subscriber data to create powerful statistics about how people are moving about in the real world.

Idiomas

Big Data