Data science is a popular and lucrative profession, and despite pandemic-era slowdowns, it’s stillone of the sexiest jobs around. As businesses seek to employ the power of data to increasingly digital commerce, companies across industries are on the lookout for data scientists and vice versa. These data-powered professionals have a lot to offer. From manufacturing to hospitality, data scientists can bring invaluable insights that transform the ways we conduct business, leading to greater solutions and cost-reduction opportunities....

Data-informed predictive policing was heralded as less biased. Is it? “Dirty data” makes for biased predictions The technology is “perpetuating and, in some cases, concealing some of the biased practices in the police department,” said Rashida Richardson, director of policy research atAI Now, a New York University institute exploring the effect of artificial intelligence on society, which has looked at predictive policing programs around the country. “Dirty data,” she said, makes for bad predictions....

Data: Trump is more engaging on Facebook now than he was in 2016 Trump soldiers on as Biden stumbles Facebook users can follow someone or something by liking the overall page. According to data from the archive siteWayback, by early October, Trump had increased the number of people who like his Facebook page by 164% between 2016 and 2020, from 11 million to 29 million. He is far ahead of Biden on 3 million, who has half the 6 million people liking his page that Clinton had gathered in October 2016....

DataSifttoday announced that it has secured $6m in a round of funding that was co-led byIA VenturesandGRP Partners. DataSift is a real-time social-data mining platform developed by MediaSift Ltd, the same company behindTweetMeme. Wereportedon the launch of DataSift back in August 2010. In a nutshell, DataSift aggregates real-time streams from across the social sphere, including Twitter, Facebook, WordPress, MySpace, Digg and more. The platform provides granular and modular ‘sifting’ functions to analyze content, layering this with additional metadata such as location, user information, authority and sentiment analysis....

Jumping into the online dating pool is overwhelming for a noob. The Internet dating virgin will hem and haw at the prospect of resorting to seeking mates through a series of filters and personality quizzes. They’ll confide in friends, whispering, “I just don’t think I’m… that kind of person.” In many ways, a beginner becomes his or her own worst enemy by buying into the stigmatization of meeting someone online....