Read the entire posting (quite long) at http://www.analyticbridge.com/profiles/blogs/15-great-data-science-articles-from-influential-news-outlets
This is our third post in our series of "great articles". For each article, click on the link after the title to read the full story.
1. How Big Data Will Disrupt the $9 Billion Music Publishing Rights Business - http://blogs.wsj.com/cio/2012/05/15/how-big-data-will-disrupt-the-9...
Even successful songwriters experience their share of professional frustration, and so it was for Scott Schreer. In his view, understanding and monitoring the royalties for his compositions–which included the music for the “Have a Coke and a Smile” TV commercials, penned when he was 25–was an impossible challenge. Like most songwriters worldwide, he depended upon performing rights organizations such as ASCAP and BMI in the U.S. to negotiate and collect royalties for the performance of his work in TV productions and other public venues.
2. Data-Mining in Doctor's Office Helps Solve Medical Mysteries - http://www.businessweek.com/news/2012-05-15/data-mining-in-doctors-...
When hospitals turn to Microsoft Corp., it's no longer just for the latest office software. Some are asking the technology giant for help in diagnosing their patients.
In one instance, a hospital in Washington, D.C., asked Microsoft to examine its medical records to determine why certain patients were getting sick soon after being discharged. The company crunched the data from MedStar Washington Hospital Center and found something surprising: Patients who stayed in the same room had come down with the same infection.
3. Obama Administration Big Data Initiative Calls All Hands on Deck - http://data-informed.com/obama-administration-big-data-initiative-c...
The Obama Administration’s announcement that it is investing $200 million in a big data initiative reads like a checklist for leaders of advanced organizations who want to derive ever-more sophisticated insights from data sets growing in size and complexity by the hour.
Advance the means for data scientists to manage, analyze, visualize and extract useful information from large and diverse data sets. Check.
Create a cloud-based system that allows researchers to access a 200-terabyte data set. Check.
Develop new scalable software tools for analyzing large volumes of structured and unstructured data in distributed data stores. Check.
Create human-computer interaction tools to facilitate “rapidly customizable visual reasoning.” Check.
Launch an online innovation marketplace for qualified bidders to contest for R&D “data to decisions” projects. Check.
A Lack of Big Data Investment
These and other projects unveiled March 29 are a response to a recent White House assessment that the federal government was underinvesting in information technologies that enable scientists, researchers and analysts to “move from data to knowledge to action,” said John P. Holdren, director of the White House Office of Science and Technology Policy.
4. Five Myths about Predictive Analytics - http://tdwi.org/articles/2012/05/01/5-predictive-analytics-myths.aspx
Myth #1: You can’t start until a data warehouse is in place
Myth #2: Predictive analytics requires a Ph.D. or math degree
Myth #3: There is a long time-to-value with predictive analytics
Myth #4: Curiosity killed the cat
Myth #5: The results are incomprehensible
5. Big data is worth nothing without big science - http://news.cnet.com/8301-1001_3-57434736-92/big-data-is-worth-noth...
As with gold or oil, data has no intrinsic value, writes Webtrends CEO Alex Yoder. Big science, which bridges the gap between knowledge and insight, is where the real value is.
Read the entire posting (quite long) at http://www.analyticbridge.com/profiles/blogs/15-great-data-science-articles-from-influential-news-outlets
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