Data mining, forecasting and bioinformatics competitions on Kaggle. The Business of Big Data - IA Ventures. The Data Conundrum - OpenGamma. One of the most repeated comments that people have made regarding evaluating the OpenGamma Platform is that out of the box it doesn't do a whole heck of a lot. The problem and solution to that? Data, of course. tl;dr: We're going to be shipping sample data for evaluation in a maintenance release on the 0.8.x codeline. Any front-office or risk system is extraordinarily data-heavy, and heavy across a number of dimensions. Security reference data (like equity sectors and OTC contract terms);Portfolio/Position/Trade data (what trades you have);Configuration data (how you want to build your curves and surfaces, what calculations you want to see);Market conventions (how particular things are quoted or traded in certain markets);Regions and Holidays and Exchanges and ...
And all that? And we're not giving any of it to you at the moment. Sounds pretty daft, right? Why Didn't You Do X? We've had a number of suggestions on how we could have solved this problem; let me try to address those. The Joy of Stats. A special report on smart systems: Augmented business. This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies. Review our cookies information for more details Augmented business CALL it the democratisation of sensors. You have reached your article limit Register to continue reading or subscribe for unlimited access Registration is free, and takes only a moment Once you've registered, you can read six articles from The Economist print edition for free each week. Log in to continue reading. The 4 Big Myths of Profile Pictures.
Hello, old friends. I am back from dark months of data mining, here now to present my ores. To write this piece, we cataloged over 7,000 photographs on OkCupid.com, analyzing three primary things: Facial Attitude. Is the person smiling? Staring straight ahead? In looking closely at the astonishingly wide variety of ways our users have chosen to represent themselves, we discovered much of the collective wisdom about profile pictures was wrong.
One of the first things we noticed when diving into our pool of photos is that men and women have very different approaches to the camera. Women smile about 50% more than men do and make that flirty-face four times as often. Now, you’re always told to look happy and make eye contact in social situations, but at least for your online dating photo, that’s just not optimal advice. Notice that, however, that flirting away from the camera is the single worst attitude a woman can take. Maybe women want a little mystery. Weird. The Cleavage Shot. City Forward. Enhanced Descriptions: “Premium Linked Data” I’ve had several conversations recently with people who are either interested in, or actually implementing Linked Data, and are struggling with some important questions How much data should I give away?
If I wanted to charge for more than just the basic data, then how would I handle that? My usual response to the first of those questions is: “as much as you feel comfortable with”. There’s still so much data that’s not yet visible or accessible in machine-readable formats that any progress is good progress. Let’s get more data out there now. More is better. It usually doesn’t take long to get to the second question. Scott Brinker has done a good job of summarising a range of options for Linked Data business models. Premium Linked Data It’s possible to publish Linked Data that is entirely access controlled. This data isn’t going to be something you’d discover on the open web. Its the mechanics of implementing this public/private scenario that has cropped up in my recent conversations. Summary. Technology Review: Gadgets for Getting in Shape. WIN Human Recorder offers wireless, real-time health tracker | D.
A company calling its collective group of body monitoring products the WIN Human Recorder system has released a new device called the HRS-I. Designed to measure and record a person's electrocardiographic signals, body surface temperature and overall body movements, the tiny unit can easily be worn under your shirt as you attend to your daily business. The device communicates wirelessly with a remote base and can last on a single charge for up to three days.
Targeted toward companies working to monitor employee health, the HRS-I can be purchased for just 30,000 yen ($331) and the monitoring service costs just 10,000 yen ($110) per month. Via Nikkei. Statosphere. The Future: Operating System And Application-Neutral Data. We are now growing accustomed to the concept of the "cloud", where our data will be increasingly stored in Web services, not on local disk, accessible from any computer, operating system or browser. But, despite the adoption of standards from major players storing our personal data, the choice of services causes serious vendor lock-in, as the data suite, be it from Microsoft, Google, Apple or other providers, is not only interpreted by their offerings, but stored there as well. This storage and management of our data makes migration between services incredibly difficult, and still leaves us at the mercy of a large company, whose priorities may not be the same as our own.
The time has come to start on a path to true ownership of data by the individual, reducing applications and Web services to the role of filters and containers, rather than hosts, who can propagate lock-in as these services spread to mobile devices and tablets from their desktop roots. So how do we make this happen? Search Results - Factoetum Beta. Open Knowledge Foundation Blog » Blog Archive » Open data in Fra. The following guest post is from Regards Citoyens, a French association of citizens with a shared interest in opening up information about the functioning of democratic institutions in France. France is lagging behind… There is no doubt about it: compared to other countries, France is definitely late in opening up its data.
For a country so proud of its human rights and democratic revolution, it took a while before it finally joined the open data movement! The first “Open Data Camp” organized in Paris last December is a good example of this new momentum. While the US and the UK have taken enormous steps in the past two years with the release of data.gov and data.gov.uk, France and many other southern European countries are still being very conservative about making public data public.
Interesting — and often relatively little known — projects already lead the way. For historical reasons, it is especially difficult to change French officials’ approach to data release. [Workshop Summits] Microformats Workshop. Official government data sites around the world | News | guardia. Worldometers. Business models for linked data and web 3.0. In January, I wrote a post on 7 business models for linked data (with an 8th model added shortly thereafter). Although far from comprehensive, it attempted to illustrate the range of direct revenue vs. indirect revenue models that could justify development of linked data initiatives. A number of people from the linked data community contributed feedback and suggestions of additional models, including Leigh Dodds (Thoughts on Linked Data Business Models), Paul Groth (Another 5 Linked Data Business Models), Eric Hellman (8 One-Way Business Models for Linked Data), and John S.
Erickson (The Evolution of Linked Data Business Models). However, some of the best feedback came offline from Rachel Lovinger at Razorfish (and author of the blog Meaningful Data). Over a series of discussions, we developed an expanded model: There are three dimensions in this model, which we phrased as questions: 1. 2. 3. To be certain, this isn’t an exhaustive list. Let us know what you think! RDF meets NoSQL « Decentralyze – Programming the Data Cloud. March 9, 2010 On Thursday, I have 20 minutes to address 200 people (plus a video audience) at NoSQL Live … from Boston. My self-appointed mission is to start building bridges between the NoSQL community and the Linked Data/RDF/W3C community. These are two sets of people working on different problems, but it’s pretty clear to me they are heading in the same direction, in similar spirit, and could gain a lot from working together.
I’m organizing my talk around the question of standardization for NoSQL, and I’ll talk about W3C process and such, but the interesting part is where NoSQL touches RDF. While they both want to move beyond SQL, their reasons are different. So… What does that all boil down to? Bottom line: RDF could learn a lot from NoSQL about scaling and ease-of-programming; NoSQL could learn a lot from RDF about decentralization and inference. Some closing questions, ideas…. Can someone make a SPARQL endpoint with Cassandra’s performance and scaling properties? Like this: Buy and sell data at Data Marketplace | FlowingData. Add another site to the list of places to find the data you need. Data Marketplace connects people who want data to people who can find, scrape, and cull data. Here's how it works.
If you want data, you put in a request and optionally, a deadline and budget. A provider can then go find that data for you, maybe through scraping a difficult-to-parse website, and then post it online. You then have the option to purchase the tabular data. There are three big humps to get over though for Data Marketplace to work. The first is that there has to be people who are willing to buy data. The second thing is that the data has to be publicly available somewhere in some form. Finally, there has to be analysts, programmers, etc. who are able to get the data people want. This of course is in direct competition to Infochimps, who opened up their marketplace a few months ago, and sites like AggData, less so. Accueil | DATACT.