Interconnexion fuels Innovation

I enjoyed reading this analysis of innovation from Matt Ridley in reason.com, here are his conclusions : Ideas Having Sex: How prosperity and innovation exceeded the expectations of John Stuart Mill and Adam Smith Innovators are in the business of sharing. It is the most important thing they do, for unless they share their innovation Read More …

Crowdsourcing in Search and Data Mining

Here are some Notes from “Crowdsourcing in Search and Data Mining” (CSDM) workshop taken by Panos Ipeirotis.  The workshop took place in Hong Kong, just a few days ago, and tackled different issues on crowdsourcing, like: – When should we let people talk to each other vs let them work independently? – How Crowdsourçable is Read More …

Clicks: where did you think the data was coming from?

All these buzz about tracking clicks began with Bing, but goes well beyond that Search Engine. Read this article, it talks about clicks and other telemetries (remote measurement and reporting of information).  There are a lot of examples of applications where you have been tracked, knowingly or not. You could see it as:  you give Read More …

Get visual to design your information extraction process

Here  Pete Warden describes the release this month of A Free Visual Programming Language for Big Data: Until the last few years, large scale data processing was something only big companies could afford to do. As Hadoop has emerged, it has put the power of Google’s MapReduce approach into the hands of mere mortals. The Read More …

Mining the Tar Sands of Big Data

I liked the analogy Michael Driscoll and Roger Ehrenberg used in their article announcing GigaOM’s Structure: Big Data conference on March 23 in New York City. In a similar vein, much of the world’s most valuable information is trapped in digital sand, siloed in servers scattered around the globe. These vast expanses of data — Read More …

Nowadays there is not a big interaction with the customer…Thus use data mining to help CRMs

Here’s the explanation: … As described above, data mining is an efficient tool help marketing people to analyze consumer’s behaviors, classify data and predict the future trends by pattern analysis.  Business would gain more profits if managers make good use of it.  In addition, data mining also contributes a lot to CRM, Customer Relationship Management.3  Read More …

Who’s Watching What? — Data Mining Raises Privacy Issues

I found this article quite frightening.. Although it’s more than a year old, I’m sure things are only worst than at the time Annie Macios wrote it. http://www.radiologytoday.net/archive/rt_011209p20.shtml The main idea is that companies that collected health information for their business purposes (like invoicing follow-up), and for which you gave your approval, then realised they Read More …