Sleep your way to better business

We often hear of tales of the “Sleepless Elite” who forgo sufficient sleep in order to get ahead. Prominent leaders and business CEO’s such as Marissa Myer, Donald Trump and Condolezza Rice all claim the key to their success has been by getting less than 6 hours of sleep a night. However, the influence of these sleepless elite are having a serious effect on the younger members of our society. A recent post by our CEO, Sean Kerklann, highlighted how unpaid interns are feeling the pressure to work extremely long hours in order to get ahead – in two instances these internships have lead to deaths.

The truth is, lack of sufficient sleep can affect not only your productivity but it can also increase your accident risk and can lead to health conditions such as obesity and diabetes. Here at Fatigue Science we regularly see how fatiguing our 24/7 society is and how it is effecting workplace safety, performance and productivity.

We recently found this infographic from AirMattress.com detailing on why getting enough sleep is the key to getting ahead.

 

infographic_sleep_your_way_to_better_business

 

RELATED POSTS

, , , , , ,

Webinar: How Marcobre uses Readi to predict fatigue and reduce fatigue event

Join us for a fascinating webinar as industry leaders discuss the successful implementation of predictive fatigue management in mining operations.
, , , , , ,

Featured in International Mining: Readi deployed by Newcrest, using ML to predict fatigue

We are thrilled to be featured in International Mining's latest article, highlighting the deployment of our predictive fatigue management technology, Readi, by Newcrest Mining at their Lihir gold mine in Papua New Guinea.
, , , , , ,

US DoT Study: Readi’s SAFTE can predict 7.3x accident cost from fatigue

A 2013 study by the US Department of Transportation (US DoT) is receiving newfound attention, due to the recent release of ReadiML, the Machine Learning software from Fatigue Science that operationalizes a scientific fatigue prediction model for daily use by transportation fleets.