- 18 Hot IT Certifications for 2014
- CIOs Opting for IT Contractors Over Hiring Full-Time Staff
- 12 Best Free iOS 7 Holiday Shopping Apps
- For CMOs Big Data Can Lead to Big Profits
CIO - What if big data could do even more to help with world problems? So far, companies such as IBM, Google and HP have taken on immense challenges, from analyzing the number of cars that use a bridge on a busy highway or calculating how many people see one small ad in a Web browser. Google has even announced an ambitious project that will address human aging.
But several major world problems remain elusive. In some cases, the data is not available to analyze at all. In others, computers fast enough to process the data haven't been invented yet. Here are five problems worth tackling. Will any big data companies step up to the plate? We'll have to wait and see.
Health Records for the World: Medicine Where It's Needed Most
Most people have some semblance of an electronic health record (EHR), even if it's simply a notation about a recent health check-up. The tools and technology are in place to maintain a world health record repository, too. With a global database, pharmaceutical companies could develop the most-needed vaccines and medications - that is, the supply chain would be optimized for actual needs.
What's missing? Access to the global data. "Health records are kept in a whole bunch of disparate systems, and providers don't have an incentive to share them," says Mike Miller, co-founder at chief scientist at Cloudant, a distributed database provider. "Even if we had all the data in one place, we'd still need to optimize it all with machine learning algorithms and real-time analytics. That's the piece we're still working on today to get it right."
Human Brain Map: See How the Rest of the Body Works
A model of the human brain could help science immensely. Doctors could see how a tumor grows or which functions in the brain controls other organs in the body. New science initiatives such as Europe's Human Brain Project seek to build a brain simulator in the next 10 years.
The problem? The supercomputers required for that kind of processing will have to be 1,000 times faster than those in use today. There are millions and millions of neurotransmitters, all interconnected and processing "data" in the brain.
"This will require substantial developments away from conventional silicon chips onward to biological chips for molecular computing," says Oliver G. McGee, a former U.S. deputy assistant secretary of transportation for technology policy in the Clinton administration and a professor at Howard University. "Molecular computing has the vast potential of 750 times faster extensive data management than conventional silicon chip computing for rational-intuitive cognition mapping of our cranial-abdominal brains."
Map World Supply of Uranium: Track Weaponization, Energy Supply
As with any massive undertaking in collecting data at a global scale, tracking the world supply of uranium is at least plausible - that is, if all of the puzzle pieces fit together perfectly.