"top stories" entries
Welcome to the feedback economy, a guide for empowered patients, and 3 developer topics that will define 2012.
This week on O'Reilly: Alistair Croll explained why the information economy is giving way to the feedback economy, Fred Trotter examined the epatient movement, and we looked at the three big stories that will shape the developer world in the months ahead.
Five data predictions for 2012, a Kindle Single and long-form journalism, and the frustrations of the mobile experience.
This week on O'Reilly: Edd Dumbill offered five big data predictions for the year to come, Marc Herman discussed his new Kindle Single and how that platform could help long-form journalism, and Joshua Bixby examined mobile frustrations and expectations.
A vote against frictionless sharing, a look at cloud security threats, and why the open sourcing of Data.gov matters.
This week on O'Reilly: Mike Loukides explained why there's little value in frictionless sharing, Jeffrey Carr examined the significant security threats attached to cloud services, and we learned why the open sourcing of Data.gov is an important milestone for open government.
Info overload vs. consumption, how big data is shaping business, and why we need the "paperless book."
This week on O'Reilly: Author Clay Johnson explained why information consumption, not overload, is what needs to be managed. Also, Alistair Croll looked at the relationship between business intelligence and big data, and Todd Sattersten made a case for the paperless book.
The danger of SOPA, lessons from a Starbucks social experiment, and why the real world is writable.
This week on O'Reilly: Alex Howard explored the implications of SOPA and PROTECT IP, Jonathan Stark looked back on his Starbucks card experiment, and Terry Jones explained how APIs can help publishers.
Tim O'Reilly on ebooks, confessions of a not-so-public speaker, and why social network analysis matters.
This week on O'Reilly: Tim O'Reilly looked at the past and future of ebooks, Suzanne Axtell shared her first steps toward becoming a public speaker, and we learned that social network analysis goes far beyond social networks.