2030 Crowdsourcing Learning Project 
hackerearth
JANUARY 18, 2019
No wonder the project was scrapped. Worldwide, by 2030, extreme heat could lead to a $2 trillion loss in labor productivity. GE : Develop a contextual learning protocol that will allow the care-providers to learn from the patients they treat. As our planet warms, we need it more than ever to keep our people cool.
hackerearth
JANUARY 18, 2019
No wonder the project was scrapped. Worldwide, by 2030, extreme heat could lead to a $2 trillion loss in labor productivity. GE : Develop a contextual learning protocol that will allow the care-providers to learn from the patients they treat. As our planet warms, we need it more than ever to keep our people cool.
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hackerearth
JANUARY 18, 2019
No wonder the project was scrapped. Worldwide, by 2030, extreme heat could lead to a $2 trillion loss in labor productivity. GE : Develop a contextual learning protocol that will allow the care-providers to learn from the patients they treat. As our planet warms, we need it more than ever to keep our people cool.
hackerearth
JANUARY 18, 2019
No wonder the project was scrapped. Worldwide, by 2030, extreme heat could lead to a $2 trillion loss in labor productivity. GE : Develop a contextual learning protocol that will allow the care-providers to learn from the patients they treat. As our planet warms, we need it more than ever to keep our people cool.
hackerearth
OCTOBER 26, 2018
The ambitious goals promised equitable, sustainable growth for today’s and tomorrow’s generations by 2030. Enel Green Power in Italy is using an award-winning acoustic monitoring system (deep learning based) from 3DSignals to monitor hydroelectric generators. Fast forward to 2018. Source: Accenture Strategy.
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