The Digitalization of Healthcare: A Status Report for American Health Information Technology

Speaker/Performer: Michael Minear, CIO, UC Davis Health System

Sponsor: CITRIS (Ctr for Info Technology Research in the Interest of Society)

Michael Minear, Chief Information Officer at the UC Davis Medical Center, is a national leader in health-care information technology. He has an extensive record of leading transformations of large, complex organizations in the use of modern information technology.

Mobile Internet data traffic to grow 13-fold by 2017, says Cisco
One point also worth highlighting is that it appears researchers are forecasting mobile data traffic to increase sharply because of more devices online — not users.
By 2017, Cisco is predicting there will be 5.2 billion mobile users — up from 4.3 billion in 2012. But they also predicted that there will be more than 10 billion connected devices (including more than 1.7 billion M2M connections) within four years — up from 7 billion total in 2012.
» via CNET

Mobile Internet data traffic to grow 13-fold by 2017, says Cisco

One point also worth highlighting is that it appears researchers are forecasting mobile data traffic to increase sharply because of more devices online — not users.

By 2017, Cisco is predicting there will be 5.2 billion mobile users — up from 4.3 billion in 2012. But they also predicted that there will be more than 10 billion connected devices (including more than 1.7 billion M2M connections) within four years — up from 7 billion total in 2012.

» via CNET

(via infoneer-pulse)

The World’s Tweets Light Up the Globe in Stunning Live Visualization | Wired Design | Wired.com
It’s simple, but lovely. Web designer Franck Ernewein‘s real-time Twitter visualization, Tweetping, drops a bright pixel at the location of every tweet in the world, starting as soon as you open the page.
The result is a constantly changing image that grows to look like a nighttime satellite shot, bright spots swarming over the most developed areas. But Ernewein has packaged it all in a subtly interactive visualization that avoids distracting the viewer while still imparting a great amount of information.

The World’s Tweets Light Up the Globe in Stunning Live Visualization | Wired Design | Wired.com

It’s simple, but lovely. Web designer Franck Ernewein‘s real-time Twitter visualization, Tweetping, drops a bright pixel at the location of every tweet in the world, starting as soon as you open the page.

The result is a constantly changing image that grows to look like a nighttime satellite shot, bright spots swarming over the most developed areas. But Ernewein has packaged it all in a subtly interactive visualization that avoids distracting the viewer while still imparting a great amount of information.

Big data is not just about the enterprise. The fact is that every company, from consumer giants like Facebook and Twitter to the fast-growing enterprise companies like Cloudera, Box, Okta and Good Data are all big data companies by definition of the word. Every technology company with a set of engaged regular users is collecting large amounts of data, a.k.a. “big data.” In a world where data is the key to most product innovation, being a “big data” startup isn’t that unique, and honestly doesn’t say much about the company at all.

According to IBM, big data spans four dimensions: Volume, Velocity, Variety, and Veracity. Nowadays, in the worlds of social networking, e-commerce, and even enterprise data storage, these factors apply across so many sectors. Large data sets are the norm. Big data doesn’t really mean much when there are so many different ways that we are sifting through and using these massive amounts of data.

There are a number of new business models emerging in the big data world. In my research, I see three main approaches standing out. The first focuses on using data to create differentiated offerings. The second involves brokering this information. The third is about building networks to deliver data where it’s needed, when it’s needed.

How Obama Used Big Data to Rally Voters | MIT Technology Review
After the voters returned Obama to office for a second term, his campaign became celebrated for its use of technology—much of it developed by an unusual team of coders and engineers—that redefined how individuals could use the Web, social media, and smartphones to participate in the political process. A mobile app allowed a canvasser to download and return walk sheets without ever entering a campaign office; a Web platform called Dashboard gamified volunteer activity by ranking the most active supporters; and “targeted sharing” protocols mined an Obama backer’s Facebook network in search of friends the campaign wanted to register, mobilize, or persuade.
But underneath all that were scores describing particular voters: a new political currency that predicted the behavior of individual humans. The campaign didn’t just know who you were; it knew exactly how it could turn you into the type of person it wanted you to be.

How Obama Used Big Data to Rally Voters | MIT Technology Review

After the voters returned Obama to office for a second term, his campaign became celebrated for its use of technology—much of it developed by an unusual team of coders and engineers—that redefined how individuals could use the Web, social media, and smartphones to participate in the political process. A mobile app allowed a canvasser to download and return walk sheets without ever entering a campaign office; a Web platform called Dashboard gamified volunteer activity by ranking the most active supporters; and “targeted sharing” protocols mined an Obama backer’s Facebook network in search of friends the campaign wanted to register, mobilize, or persuade.

But underneath all that were scores describing particular voters: a new political currency that predicted the behavior of individual humans. The campaign didn’t just know who you were; it knew exactly how it could turn you into the type of person it wanted you to be.