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data mining - News, Features, and Slideshows
It turns out that a vital missing ingredient in the long-sought after goal of getting machines to think like humans -- artificial intelligence -- has been lots and lots of data.
Big data technologies and practices are moving quickly. Here's what you need to know to stay ahead of the game.
In 1966, some Massachusetts Institute of Technology researchers reckoned that they could develop computer vision as a summer project, perhaps even get a few smart undergrads to complete the task.
In their zeal to collect as much operational data as possible, organizations hoping to gain an advantage through the use of big data will also need to rethink how they process, analyze and present that material.
Changing databases is not a move to be taken lightly, especially when the switch is to a relatively new kind of database.
Ever since President Obama signed the Open Data Executive Order, government agencies have been making their vast data stores available to the public. These once-secret data sets are proving a valuable business resource, too.
Big data and analytics permeate virtually every move Ford makes, from forecasting the worldwide price of commodities to figuring out what exactly consumers want, what it will build, where it should source parts and how to power its lineup of vehicles.
Companies are taking matters into their own hands with internal controls, open privacy policies, ethical codes and greater candor over how they're collecting and parsing personal data. But many wonder whether it's enough to allay consumers' fears as techniques for manipulating data multiply.
Three top-tier businesses are reaping big rewards from big-data analytics. They say the keys to success include a deeply-rooted culture of analytics and a relentless focus on cost efficiency and process improvement.
As analytics become more ingrained in corporations, data visualizers are the new go-to experts in demand -- but do they work for IT or give IT its marching orders?
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