Of course, you've heard these same points made here many times but this is the first time I've heard of blaming our genes for our opinions and interests.
Last year, big data stole the show when Farsite analysts correctly predicted five out of the six winners and they were ready to do it again. This year, six out of six predictions were correct.
Among the bad guys' latest big data strategies is the creation of digital doppelgangers; perfect imitations of you and how you behave online to fool security experts into believing that it really is you removing money from your accounts.
Researchers say in a paper recently published in the Proceedings of the National Academy of Sciences that a basic problem in statistics can be resolved "by a fundamental information-theoretic measure of dependence called 'mutual information.'" They find this a superior method to the "maximal information coefficient" dependence measure which they say violates equitability.
Think about what else Facebook is likely tracking without your permission and awareness. It shouldn't take you more than a few moments to figure out that Facebook has no love for its users.
Unfortunately, most data projects get pushed onto data scientists alone because other potential team members, say from marketing or the C-Suite, don't have the skills to deal with coding and the math involved. Alpine Labs is admirably addressing this problem with a new offering called Alpine Chorus that enables across-the-board participation and collaboration.
As a U.S. citizen, I hope they're wrong. After all, the chaos theory, or dynamical instability if you prefer, still applies you know. Here's hoping the analysts didn't account for that in their model.
Github, already home to major code projects and made famous for its visualizations of the differences, aka "diffs," between documents, image files and even software versions, announced last week that maps too will be "diffable." It's all part of its open data play, a very strong play to call dibs on the ecosystem evolving around open data.
In short, very soon big business will find it difficult to sell much of anything. So, yes, I agree with Owyang. Now is the time to start shifting your business model for the market is shifting, with or without your permission.
Instead of just looking at climate change, for example, scientists can know see where climate change intersects, affects and is affected by other environmental conditions. It is an unprecedented view of our world and it has led to an entirely new field of study: macrosystems ecology.