One cannot talk intelligently about big data and not be thinking of its ultimate outcome: artificial intelligence, or AI. BabyX is not a real baby but it shows us just how far AI has already come.
New startups are springing up with interesting solutions to problems in big data as we know it. They're cooking up an interesting list of the potential next big things in big data.
For decades now, companies have tried to sneak information and permissions past consumers by burying it in fine print, be that in paper contracts or online terms-of-service. Look for the consumerization of analytics and big data wielding consumer groups to bring those practices to a screeching halt.
Occasionally a news story will come out hawking the advantages of driver tracking in reducing car insurance premiums and warning of the danger to individual privacy in the process. While such reports are generally correct in their observations and musings, most overlook developing trends that will make car insurance and the in-vehicle driver trackers obsolete in the not-so-distant future.
Intel has partnered with the Michael J. Fox Foundation to tackle Parkinson's disease. Unlike other efforts, this one uses wearables to collect much of that data.
Beyond rendering some really great personal experience and action videos, this accomplishment can lead to a much needed means to examine, compare and analyze video data from nearly any camera source, including those in extreme environments.
If an algorithm that can read soundless vibrations of a potato chip bag or a glass of water and turn that into an audio recording of your words reminds you of Hal in the movie "2001: A Space Odyssey," you're not alone.
According to a recent Oxford Economics study, only 31% of the companies surveyed have a data and application migration plan.
Here are five big data mobile apps designed to facilitate working with big data on a mobile device.
Among the list of more challenging data to analyze, human brain data certainly ranks high. Thunder is a library of tools built on the Apache Spark platform specifically for use in analyzing large neural data sets.