The power of A.I. can reach deeper than just recommending which show to binge on Netflix. It can also be used to analyze millions of images to predict things like income, political leanings, and buying habits. Steve Lohr, Technology and Economics Reporter at The New York Times, joined us to discuss artificial intelligence's full potential when it comes to predictive analytics.
Lohr's recent piece in The New York Times highlights a Stanford study that used 50 million images from Google Street View to give a glimpse of A.I.'s ability to gather data. He explains that researchers identified 22 million cars to draw conclusions about information such as which political candidate a particular zip code favored. The project took just 2 weeks to classify all the cars. In his piece, Lohr points out that without the help of AI, it would take human experts over 15 years to accomplish that task.
This type of data collection raises concerns over privacy and issues of data access. He says most of predictive analysis has been used for commercial purposes and selling products. The use of data becomes scary when it becomes integrated into decisions such as hiring, he says, because the mistakes become more costly.
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Shares of Lyft ($LYFT) popped more than 3 percent Monday morning after an analyst upgraded the company, citing higher prices as a path to profitability for the ride-hail company.
From Wall Street to Silicon Valley, these are the top stories that moved markets and had investors, business leaders, and entrepreneurs talking this week on Cheddar.
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The Cupertino-based tech giant may go with a major overhaul of the next iPhone with new camera tech and faster processors, but no 5G, according to a report.
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