Machine Learning and Fashion: The New Fashion of the Times | Huffington Post

"We owe an overdue acknowledgment to a transformation in technology, as well as a revolution (more about below) in fashion, where the former makes the latter the new fashion of the times, so to speak." according to Michael D. Shaw, executive vice president and director of marketing for Interscan Corporation. 
 

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I refer, specifically, to the rise of machine learning and its ongoing influence—for the good of businesses and consumers alike—across a multitude of industries. It is this intuitive-like sense of wisdom, because we are beyond mere matters of intelligence (artificial or otherwise), which will create a more intimate relationship on behalf of users, shoppers and executives, among others.

According to Greg Corrado, a senior research scientist at Google:

“Before Internet technologies, if you worked in computer science, networking was some weird thing that weirdos did. And now everyone, regardless of whether they’re an engineer or a software developer or a product designer or a CEO understands how Internet connectivity shapes their product, shapes the market, what they could possibly build.”

It is that potential—it is this reality—that marks a major milestone in the personalization of technology because the subject itself is impersonal and abstract. Those scientists and entrepreneurs who manage to showcase the practical benefits of this shift, among those who convey this point to the public at large, will make all manner of software and customized search more accurate and exhaustive.

As Mike Yeomans, a post-doctoral fellow in the Department of Economics at Harvard University, explains in this article in the Harvard Business Review:

“Consider an online retailer’s database of customers in a spreadsheet. Each customer gets a row, and if there are lots of customers then the dataset will be long. However, every variable in the data gets its own column, too, and we can now collect so much data on every customer—purchase history, browser history, mouse clicks, text from reviews—that the data are usually wide as well, to the point where there are even more columns than rows. Most of the tools in machine learning are designed to make better use of wide data.”
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Source: Huffington Post