In the war on noise, contextual applications serve as crucial ammunition.
The Age of Content
With all the hype around Big Data, we’ve become extremely proficient at collecting data – be it from enterprise systems, documents, social interactions, or e-mail and collaboration services. The expanding smorgasbord of data collection points are turning increasingly portable and personal, including mobile phones and wearable sensors, resulting in a data…Continue
Added by Alissa Lorentz on April 25, 2013 at 3:11am — No Comments
What is buzz marketing? In the strict sense of the term, buzz marketing is creating noise around a product, service, company or brand. For example you can recruit consumers, preferably proactive volunteers who influence their peers, and help them to try your products in good condition before pushing them to talk about their experience.
The buzz is one of the most powerful forces in the market, and knowing how to master this important marketing channel is critical. Word of…
Added by Michel Bruley on March 7, 2013 at 4:21am — No Comments
We are seeking comments and suggestions on a proposed "Data Science Code of Professional Conduct".
Data science is an independent profession. Data scientists have a higher calling than just technical skills. We have a duty to use data science to make life, business and government better.…
IT market studies expert indicate that the advanced analysis of various data and the management of an increasing volume of data, are among the five priorities large enterprises CIOs and companies at the forefront of the world of internet. Big Data is thus increasingly important, and a growing number of companies complete their decision-making infrastructure, with new analytical platforms to improve their efficiency and profitability.
First experiences Big Data observations show…
Added by Michel Bruley on February 4, 2013 at 10:53pm — No Comments
The Internet of Things (IOT) will soon produce a massive volume and variety of data at unprecedented velocity. If "Big Data" is the product of the IOT, "Data Science" is it's soul.…Continue
Added by Michael Walker on January 30, 2013 at 7:30pm — No Comments
The hype of "big data" has created a mythical god called the data scientist: a lone-wolf, super-smart human with a solid foundation in computer science, modeling, statistics, analytics, math and strong business acumen, coupled with the ability to communicate findings to…Continue
Added by Michael Walker on January 23, 2013 at 9:00pm — No Comments
A data scientist at Flutura has to wear multiple hats in order to deliver next generation analytical solutions in the sectors we operate in namely energy, telecom, digital and health care industry. In order to do that he/she has to wear 3 hats
- The BUSINESS hat
- The MATH hat
- The DATA hat
Most of the time it’s easy to fathom the depth of the data scientists math / algorithmic knowledge and the depth of…Continue
Added by derick.jose on December 8, 2012 at 9:41pm — No Comments
LinkedIn was founded in 2003, is currently revenue 243 million and employs 1797 people. This is not what we call a large company. However, LinkedIn has 175 million members in 200 countries including 50% outside the U.S., two new members join the network every second, and analysts said that all "executive" of the Global 500 are members. Under these conditions, LinkedIn is facing a high volume of data to process. Indeed their information system must support 2 billion a year of research carried…Continue
Added by Michel Bruley on December 3, 2012 at 3:16am — No Comments
Added by Patricia Tenanty on April 13, 2012 at 7:30am — No Comments
Informatica Corporation provider of data integration software, announced that Westpac Life New Zealand Limited, New Zealand’s largest full service financial institution, has standardized on the Informatica Platform to help power its strategic initiatives around Big Data.
This includes Westpac’s ambitious Insurance Project, a new enterprise business intelligence environment that is helping the…
Added by Pearse William on December 21, 2011 at 2:09pm — No Comments