Google Street View Gives a Glimpse into Power of A.I.
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.
Ride share competitors Uber and Lyft both posted their fourth quarter earnings days apart from each other. Both companies have been trying to get back on their feet after taking some pandemic-related hits, but the Omicron variant had other ideas as the year came to a close, with each company taking a hit in ridership in December. Lance Ippolito, head trader at The Future of Wealth explains how Uber and Lyft measured up this earnings period and why Uber may still have an edge over the competition.
Parallel Systems has been selected to receive $4.5 million from the Department of Energy for an advanced testing program of its autonomous, battery-electric rail vehicles. The startup, which has raised more than $53 million to date, was founded by former SpaceX engineers to reimagine the rail system by creating a more efficient, decarbonized freight network. Matt Soule, Co-founder & CEO of Parallel Systems, joined Cheddar's Opening Bell to discuss what the company hopes to achieve.
