Apple’s CEO Tim Cook: Diversity Is ‘the Future of Our Company’; Time, 6/8/15

John Kell, Time; Apple’s CEO Tim Cook: Diversity Is ‘the Future of Our Company’ :

"Apple’s CEO Tim Cook doesn’t mince words when asked about the importance of diversity: “I think the most diverse group will produce the best product, I firmly believe that.”

In an interview with Mashable ahead of Apple’s Worldwide Developer Conference (WWDC) Monday, Cook told the website that Apple is a “better company” by being more diverse. He says a lack of diversity in tech isn’t because women don’t want to be involved in the sector. Instead, Cook places the blame on the broader tech community saying generally, “We haven’t done enough to reach out to show young women that it’s cool to do it and how much fun it can be.”

Apple is certainly part of the problem. A workforce data report last year showed that just 30% of its global workforce is female. And leadership positions at Apple skew even more white and male than the broader workforce. Cook has in the past said he’s not satisfied with the numbers."

In Silicon Valley, Searching for Diversity in an Algorithm; Fox Business, 6/9/14

Jennifer Booton, Fox Business; In Silicon Valley, Searching for Diversity in an Algorithm:

"Mountain View, Calif.-based Google said its 46,000-person workforce is “miles” away from where Google would like to be. It blamed education, and touted its efforts to try and fix the problem such as sending engineers to historically black colleges to reinvent IT curriculums and investing in education for girls...

“My concern is the 99% of other companies who want and need diverse teams but don’t have the team to recruit them,” Bischke said. “This could help level the playing field.”

What Entelo provides is more than 20 million profiles of potential employees filled with publicly-available data pulled from sites like Twitter (TWTR) and LinkedIn (LNKD).

Its proprietary algorithms then sort through this information using big data, predictive analytics and social cues, to determine the likelihood that people fall into a number of demographic subsets: female vs. male, white vs. black, etc.. It also identifies U.S. military veterans.

"We realized we could do this with a high degree of accuracy,” Bischke said.

The idea is that it would help companies to more cost-effectively and efficiently scour a wider group of potentially ethnically-diverse and qualified candidates, freeing up resources to focus on innovation, training, and ideally develop these people into future industry leaders."