Sociology professors unpack research into why traditional diversity efforts don’t work to get more women and minorities hired and promoted.
While some tech companies have made incremental gains for their efforts to increase women and under-represented minorities among their ranks, the overall business landscape isn’t faring much better.
Here are five ways that companies are using machine learning to transform health care.
We are using intelligent machines for everything from self-driving cars to online searches. But how about leveraging artificial intelligence, or AI, to save lives? “A momentous change in health care is under way,” says Suchi Saria, an associate professor in computational biology at Johns Hopkins, with startups harnessing the recent explosion of electronic health data to help doctors make critical decisions and extend care to patients between appointments. Here are five ways that machine learning is poised to bring new rigor to medicine.
Under Armour is all in on data, while Nike hopes to enhance its performance with diversity.
Ask Under Armour CEO Kevin Plank if he’s running an apparel company and he’ll tell you that UA is now a “math house.” As he told investors last year, “A math house uses data to shorten the distance between a brand and consumers.”
Okay, Postmates and Tinder aren’t rivals, unless you’re drunk and looking for instant gratification.
You should probably just go to sleep. It’s been a long night. But a few beers have eroded your self-control, and the only barrier standing between you and instant gratification is the tap of a smartphone app. Your thumb hovers over the icon. Didn’t you tell yourself last time that you deserve better? But it’s just too easy. You’ll be stronger tomorrow. That’s how you end up on another Tinder date. It’s also how you end up with a 2 a.m. junk-food delivery via Postmates.
Four of five open developer jobs are in markets outside Silicon Valley, but AP computer science courses are often scarce in those places.
For a long time Silicon Valley companies have faced a shortage of qualified software developers. Many young companies want to plant their flag in the Valley, so they open an office there, but are forced to rely on an engineering team located elsewhere.
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