Take a look at Tim Walsh's post in Forbes.
There's not much of a market for raw data. But if you have output from sophisticated, trustworthy predictive models for sale, then you stand to make some sizable money. The problem data brokers have now is in branding their big data so buyers can know the difference--and the value.
If you really want to leverage big data to increase your revenues significantly, you have to focus on customer-centric strategies and steer clear of the notion that you are in control of the customer.
If you already possess analytical and data science skills, then you are in a good position to take advantage of the coming hiring boom, or to launch a consultancy yourself.
The state of Indiana has been plagued with a higher than average infant mortality rate--7.7 infant deaths per 1000 births. Republican Governor Mike Pence sees hope in big data to find the causes and address them.
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.
A collection of this year's most popular infographics and presentations
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.
Enlitic is working on using software very similar to the face recognition programs used by Facebook to detect patterns in medical data such as cancer in an X-ray, reports Elizabeth Dwoskin.
Nearly every organization around the globe is in hot pursuit of data scientists. But among this relatively rare and very desirable bunch, what traits and skills are most desirable?
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.
While the business world has recently experienced a rapid growth in data and discovered ways to manage and use it, the new tools have yet to fully measure up to handling the mega-data scientists are still trying to get a handle on.
Members of the FierceBigData community with substantial experience in addressing privacy issues responded with some outstanding insights and some actionable best practices for individual researchers.
An article at CIO.com sheds some light on what big data can actually do for you.
Tony Hadley was very confident that we won't see Congress pass a law anytime soon--or maybe ever--to protect consumer privacy from overreaching online data collection, as he noted during the Aspen Forum 2014.
The Federal Trade Commission, or FTC, is holding a workshop titled "Big Data: A Tool for Inclusion or Exclusion?" on September 15 in Washington, District of Columbia. The event is open to the public and is designed to address real and perceived discriminatory practices in big data use.
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.
It's important to occasionally check ourselves on our enthusiasm for data and analytics. Not all outputs are created equal and some can be seriously over-played to the point where people can be harmed from public policies that stem from them.
Research giant Gartner said last year that big data topped its most overhyped technology list but this year the Internet of Things (IoT) reigns supreme.
Check out this infographic for tips on explaining big data to people who work anywhere and with anything other than big data.