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Tag Archives: Supernova Conference

Event Highlights: July 25 – July 30, 2010

Before you begin contemplating popping the cap off of a fire hydrant, consider this week’s tech events calendar. This week is packed with events you won’t want to miss. Although we can’t promise anything, there will likely be free air conditioning, too.

This week get the low-down on what’s hot and new in Mac on Tuesday, check up on the folks at Hive76 on Wednesday and join Technically Philly at the Supernova Forum 2010 on Thursday and Friday.


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Get 50 percent off of Supernova Hub tickets

We’re pretty sure you don’t need to be convinced to attend any conference featuring the CTO of President Obama’s Open Government program, social media research danah boyd and former Rendell chief of staff and current Comcast VP David Cohen, among others.

But just in case you were on the fence about the Supernova Hub conference at the University of Pennsylvania on July 29 and 30th, the kind folks over at Wharton have created a special discount code for TP readers.

Use the code “tp10″ to get 50 percent off of the $150 registration price. Click here to register.

Disclaimer: Technically Philly is a media sponsor of Supernova Hub.

Wharton’s WIMI can predict your future

This is first in a series of posts profiling speakers at this month’s Supernova conference, a technology conference at Wharton that is co-sponsored by Technically Philly.

Wharton professor Eric Bradlow sees his department as a matchmaker between guys in suits and guys in lab coats.

“We want to connect companies with large data sets with academics that want to build data models,” he says.

Bradlow along with fellow professor Peter Fader started Wharton Interactive Media Initiative (WIMI) in August 2008 to help companies take the large mounds of user data and use it to predict customer behavior.

WIMI is able to predict the viewership of ESPN programming across cable, online and mobile. They’ve told Omnicom what online advertising methods are most effective and they’ve helped Hulu forecast user consumption “with ridiculous accuracy.”


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