The U.S. Department of Energy and the Presidential Innovation Fellows invited the public to use the DoE's energy data "to do amazing things." From November 2013 until October 2014, the DoE will conduct four contests, awarding over $100,000 in total prizes for "the best ideas, apps and visualizations that use energy data to help address some of America's biggest challenges."
Some of the predictions are what many of us expect to happen next year. But there are also some interesting, if not surprising, thoughts in this list.
Yes, I agree this post has a very cynical headline. And I wish this was a tale of fiction. Unfortunately, it isn't. Gartner is actually promoting developments along this front.
The companies netting the most from big data at the moment appear to be more focused on optimizing their operations and honing worker productivity. But beware. You can manage anything you can measure, that's true--but that doesn't mean everything you can measure needs managing.
Legions of cyber security analysts will be needed to protect data from cybercriminals on every front. Indeed increased awareness of cybercrime and tactics should be taught to every user too.
For one week, 25,000 attendees in 25 cities will participate in over 200 events as part of the global Big Data Festival, November 18-22. And some cities' are making their events free to attend.
Foster Provost, professor of information systems and NEC faculty fellow at New York University's Stern School of Business, said that it's still "very early in the business" and thus the understanding of what data science is and what data scientists do has yet to be well-defined. "The industry hasn't reached a consensus on what data scientists should know," he said.
Politics may make strange bedfellows but market forces make odd frenemies. Read the article to get details on this new and puzzling alliance.
It is imperative to our country's economic survival that we use big data to improve our education system and not just to declare some students as unprofitable to institutions and bar them from it altogether.
Gartner is right about big data projects proceeding slowly in the corporate world. People are still figuring out how exactly big data works. But that doesn't mean data scientists are patiently waiting on their corporate bosses to give the green light or for more challenging projects to come their way. Indeed, if they don't feel satisfied with their work, they just may develop "predictive data envy" and move on to another company.