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.
Critics slammed Amazon.com for selling Christmas ornaments, bottle openers and other trinkets that featured scenes of the Auschwitz concentration camp ー all made by a third party seller called "Fcheng."
Offensive trinkets sold on the Amazon Marketplace may be part of a bigger problem facing retailers: the rise of robots using algorithms to generate an endless variety of cheap products--all to entice even one buyer. Juozas Kaziukėnas, founder of e-commerce analysis company Marketplace Pulse, explains how these sellers work.
The automaker and breakfast purveyor announced a collaboration to create plastic vehicle parts out of coffee bean waste from the roasting process.
Expedia's Chief Executive Mark Okerstrom and Chief Financial Officer Alan Pickerill will resign their posts effective immediately. The year has been notable for how many chief executives have resigned, quit, or been forced out.
The San Francisco-based company, led by SoFi's former CEO Mike Cagney, provides fixed-rate Home Equity Lines of Credit (HELOCs) in an all-digital process that promises borrowers decisions in less than five minutes and funding in less than five days.
Geoffroy Van Raemdonick, CEO of Neiman Marcus, told Cheddar that the luxury retailer is embracing a guided online shopping experience with the help of personal shoppers and machine learning.
The New York State Department of Financial Services has granted the notoriously tough-to-get BitLicense to the digital bank to trade cryptocurrencies.
These are the headlines you Need 2 Know for Tuesday, December 3, 2019
The energy sector is in "a really exciting time," Chairman Neil Chatterjee told Cheddar Monday. His agency, the Federal Energy Regulatory Commission, is charged with overseeing the power grid.
Cyber Monday has grown to become one of the most critical shopping events of the year for retailers. In 2019, Adobe Analytics is predicting consumers are on track to spend $9.4 billion ー 19 percent year-over-year growth.
