I've written several pieces on the topic from various angles:
On how cell phone data is used to map the spread of Malaria in order to come up with effective prevention in Africa Analyzing Cellphone Data for the Greater Good
On Retrofit's approach: Data Gets Personal to Fight Obesity
On UPMC $10 million dollar big data plan: Creating Custom-Fit Healthcare
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Tuesday, November 27, 2012
Monday, November 12, 2012
Dial a data scientist
well, not exactly, but you can find one you can hire with Kaggle's new feature. Read more about it in my blog post:
Top Data Scientists on Tap
Saturday, November 10, 2012
Big data for voters
Hurricane Sandy cut a devastating path through the Northeast, and many people are still without electricity, fuel, or shelter. They still had the right to vote, but what were they to do if their usual polling place was knocked out of commission? To find out where they should go, they were able to find answers in big data. Read more in Big-Data to Get Out the Vote
Thursday, November 1, 2012
Thoughts on the Human Face of Big Data
See my blog post on the brand new board, Big Data Republic, Predicting People's Participation in a Big-Data Project
Thursday, October 11, 2012
What do you think of pink?
Do you automatically buy anything that allies itself with "the cause?" There are reasons to think rather than blindly support all that is dressed in pink as discussed in http://uncommoncontent.blogspot.com/2012/10/beyond-pink.html
Predictive analytics for relationships
That's at the heart of Dr. John Gottman's approach, which he expands on in his latest book, What Makes Love Last? How to Build Trust and Avoid Betrayal. I wrote about that book here.
I've written about his earlier work in several posts:
I've written about his earlier work in several posts:
The ultimate marriage manual
and the 4 part Marriage success between two earthlings
Sunday, September 23, 2012
Snoopy and Ozick: find out what they have in common
That's one of the cartoons featured in http://uncommoncontent.blogspot.com/2012/09/what-do-cynthia-ozick-and-snoopy-have.html
Wednesday, September 19, 2012
What would you include to represent 100 years of childhood?
See http://uncommoncontent.blogspot.com/2012/09/representing-100-years-of-childhood.html for thoughts on the MoMA's exhibit.
You can get your own Facebook Report
just bring along the salt shaker Read Your Personal Social Data, Visualized to understand why a few grains may be necessary when reviewing your stats.
Tuesday, September 18, 2012
IT and business don't always agree on big data
Not all decision makers within an organization are on the same page with respect to big data plans. The disparity is due to the different perspectives of the business and IT end of the organizations.
Read more: IT, business have different views on data - FierceBigData
Read more: IT, business have different views on data - FierceBigData
Thursday, September 13, 2012
Analysis in light of the Pareto Principle
Many businesses who are not getting as much utility out of big data as they would like identify the source of the problem as their inadequate hardware, and inadequate finances. However, in a Smart Data Collective post, Paige Roberts argues that it's not the hardware, but the software that's to blame.
"Investing in better utilization of existing hardware is a far better, more sustainable, and cost-effective solution" for businesses who find their current setups inadequate. Roberts points to the inefficiency built into current "utilization rates of hardware [that] are around 15 percent worldwide." Even the most efficient data centers max out at only 20 percent, meaning that 80 percent is untapped.
Do those numbers ring a bell?
Read more: What's the real problem with the hardware? - FierceBigData
Tuesday, September 11, 2012
What do Long Island and Arlington, Texas have in common?
The answer is science. This topic was of particular interest to me because I've visited Brookhaven, one of the institutions involved in the partnership, multiple times. It's on Long Island, which, surprising, as that may be, actually has quite a history in connection with science as engineering, including the space program.
Their goal is to extend the PanDA system for more general applications. Brookhaven and UT Arlington originally developed the workload management system to process the massive quantities of data involved in a component of the research of the Large Hadron Collider, or LHC.
Read more: Project aims to improve big data processing for science and engineering - FierceBigData http://www.fiercebigdata.com/story/project-aims-improve-big-data-processing-science-and-engineering/2012-09-11#ixzz26BQk146W
Thursday, September 6, 2012
The ROI of social media marketing
SumAll’s “vision” is based on “making data beautiful, affordable and accessible.” Its target is small and medium sized companies that have not had the same access to the analytics tools that larger companies have used to “leverage their data to make better decisions and more money” Like Toms and Warby Parker, SumAll declares itself devoted to “do good by doing right.” To that end, it grants a share of itself to SumAll.org. 10% of its ownership to a non-profit called.
The company itself is not intended to be nonprofit, planning on charging for premium services in future, though for now at least, tool is available for free.
Read more: SumAll pins an ROI on social media metrics - FierceBigData http://www.fiercebigdata.com/story/sumall-pins-roi-social-media-metrics/2012-09-06#ixzz25iYqd6Rh
When Big Data becomes Big Brother
You are being watched. Does that make you feel safe or make you feel exposed? The answer to that question determines whether people applaud or decry New York City Mayor Michael Bloomberg's latest initiative. Not everyone is ready to surrender their privacy to Big Data even for a system supposedly designed for their own good.
Read more: When big data becomes big brother: New York City's system for crime prevention - FierceBigData http://www.fiercebigdata.com/story/when-big-data-becomes-big-brother-new-york-citys-system-crime-prevention/2012-08-30#ixzz25iNx32rh
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Read more: When big data becomes big brother: New York City's system for crime prevention - FierceBigData http://www.fiercebigdata.com/story/when-big-data-becomes-big-brother-new-york-citys-system-crime-prevention/2012-08-30#ixzz25iNx32rh
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What's in a name?
Should data scientists be called "data artists?" That is what someone contend, as I discuss in
What is a 'data scientist'?
Ultimately, working
with Big Data effectively calls for using both the creative and methodical
parts of the brain. In that way, it is, indeed, a science as Einstein described it: “The mere formulation of a problem is far
more essential than its solution, which may be merely a matter of mathematical
or experimental skills. To raise new questions, new possibilities, to regard
old problems from a new angle requires creative imagination and marks real
advances in science.”
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