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"For at least five years, we've been working with the same operating logic in the consumer technology game. This is what it looks like:
There will be ratings and photos and a network of friends imported, borrowed, or stolen from one of the big social networks. There will be an emphasis on connections between people, things, and places. That is to say, the software you run on your phone will try to get you to help it understand what and who you care about out there in the world. Because all that stuff can be transmuted into valuable information for advertisers.
That paradigm has run its course. It's not quite over yet, but I think we're into the mobile social fin de siècle."
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The thing about the advertising model is that it gets people thinking small, lean. Get four college kids in a room, fuel them with pizza, and see what thing they can crank out that their friends might like. Yay! Great! But you know what? They keep tossing out products that look pretty much like what you'd get if you took a homogenous group of young guys in any other endeavor: Cheap, fun, and about as worldchanging as creating a new variation on beer pong.
Now, there are obviously exceptions to what I'm laying out. What I'm talking about here is the startup culture that I've seen in literally dozens of cities. This culture has a certain logic. There are organizing principles for what is considered a "good" idea. These ideas are supposed to be the right size and shape. There is a default spreadsheet that we expect ideas to fit onto.
The Web Is Dead? No. Experts expect apps and the Web to converge in the cloud; but many worry that simplicity for users will come at a price.
Tech experts generally believe the mobile revolution, the popularity of targeted apps, the monetization of online products and services, and innovations in cloud computing will drive Web evolution. Some survey respondents say while much may be gained, perhaps even more may be lost if the “appification” of the Web comes to pass.
If Hipstamatic hangs in and establishes itself as the go-to digital snapshot brand, it could double as a parable of commerce for the flat-world age: an industrial-era end-user experience without benefit of a workforce, a community or a pension plan.
It is well known that people movement exhibits a high degree of repetition since people visit regular places and make regular contacts for their daily activities. This paper1 presents a novel framework named Jyotish,2 which constructs a predictive model by exploiting the regularity of people movement found in the real joint Wifi/Bluetooth trace. The constructed model is able to answer three fundamental questions: (1) where the person will stay, (2) how long she will stay at the location, and (3) who she will meet.
In order to construct the predictive model, Jyotish includes an efficient clustering algorithm to cluster Wifi access point information in the Wifi trace into locations. Then, we construct a Naive Bayesian classifier to assign these locations to records in the Bluetooth trace and obtain a fine granularity of people movement. Next, the fine grain movement trace is used to construct the predictive model including location predictor, stay duration predictor, and contact predictor to provide answers for three questions above. Finally, we evaluate the constructed predictive model over the real Wifi/Bluetooth trace collected by 50 participants in University of Illinois campus from March to August 2010. Evaluation results show that Jyotish successfully constructs a predictive model, which provides a considerably high prediction accuracy of people movement.
A behind-the-scenes look at how government uses mobile phones and security.
We're looking to get insights into how individuals and the workplace are changing due to an increasingly "mobile" workforce -- thanks to things like widespread laptop and mobile device usage, as well as wireless connectivity.
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