You'll find an interesting piece on how healthcare data may be used against patients as much as for them in a post in TechRepublic.
The latest to stand up and speak for both was none other that Doug Cutting, founder of Hadoop, at the Strata Conference in Barcelona. But the rules are few, penalties nonexistent and the temptation far too great for talk to make much of a difference.
These are interesting analyses on current events in their own right, but some of you may need the information for your own purposes. Or, you may want to contribute data or data visualizations to one or more of these silks to aid in the overall understanding of the topic(s).
Argyle Data announced that it has joined the Hortonworks'partner program to provide Hadoop native fraud analytics to Argyle clients. It's a great move to bake fraud detection so deep in Hadoop rather than pasting it on later in the process.
The Pervasive Technology Institute at Indiana University received $6.6 million of an $11 million grant from the National Science Foundation to create the NSF's first science and engineering research cloud called Jetstream.
While there is much hand-wringing over privacy invasions by governments and corporations involved in big data projects, it's prudent to remember that not all privacy threats come from friendly fire. Quite a bit of data collection is actually underground and decidedly malicious.
muUniverse seeks to answer problems in cluster formation rather than in isolation and then map possible decisions based on decision-making patterns found inside and outside the organization. At what point do CEOs become redundant and unnecessary too? I guess we'll soon see.
The question is, why aren't more people analyzing the probable impact of AI on humankind and working on policies and plans to both maximize the benefits of AI and automation while minimizing the negative effects?
Voters overwhelmingly approved a California constitutional amendment aimed explicitly at granting the right to data privacy--in 1972. Now the state of California appears to be stepping up again to take on privacy more stringently even as legislators at the federal level cave to lobbyists.
Expect faster and far more reliable reporting as analytics are more widely deployed in the financial journalism sector. But if you are an investor you can also expect the sudden onset of vertigo as counter-intuitive information rises and investor lore and your favorite investment models get unceremoniously smashed.
The days of expecting all students in a classroom to memorize and regurgitate the same information on the same tests are numbered. In the not so distant future, real-world project results will be the prime scoring mechanism instead.
Nadarajan "Raj" Chetty, Bloomberg Professor of Economics at
Enterprises using big data only to improve their operations or marketing efforts are not leveraging data to maximum effect.
Kenneth Cukier, Data Editor of The Economist, presented a TED Talk on big data and what's next for machine learning.
Delta just announced its new Intelligent Distribution Analytics Platform designed to warn electric, gas, and water utilities of critical issues in real-time.
"Experience design" is a product or service design that focuses on and caters to the user experience. Consider it the natural course of personalization.
'Realtors are in the business of big data whether they know it yet or not' says nation's top real estate broker
Real estate brokers are no longer solely focused on what data buyers want to have, but on data that can place a broker directly in front of a seller at exactly the right moment too.
Vasant Dhar, professor at NYU Stern School of Business, is recommending that investors seriously consider big data based sentiment as an input in investment decision making.
Data hoarders are no longer trendy, but rather seen as in need of a good data warehouse cleaning. So now the new trend is to move to "smart data"--which is to say relevant data.
The article in in The Register--titled "Make sure big data doesn't land you in big trouble,"--looks at several issues IT must resolve in using big data.