Feeding the data science famine: AI tutorials in the cloud | #WiDS2017

A forward-thinking keynote from Diane Greene, SVP of Google Cloud, considers a real-world approach to employing those most at risk of losing jobs to machine automation.  At the Stanford Global Women in Data Science (WiDS) Conference, Greene shares two pearls of wisdom to address the data scientist shortage: job security comes with the freedom to take risks in problem-solving, and democratized learning hacks can make more professionals proficient with less formal training. In a kickoff segment to SiliconANGLE Media’s live broadcast from WiDs with theCUBE, co-hosts John Furrier (@furrier) and Lisa Martin (@Luccazara) (pictured), discussed today’s keynote. (*Disclosure below.) Furrier noted that according to Greene, there is a silver lining to the data scientist shortage — namely leeway for risk-taking. “She said, ‘Don’t worry about the little things like that, because if you’re in the data science field, if you get…


Link to Full Article: Feeding the data science famine: AI tutorials in the cloud | #WiDS2017

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