A new survey shows employees ages 18 to 34 said better perks (47%) would help their motivation most at the office, followed by more challenging work (38%).
You may have heard of the fourth Industrial Revolution, but what exactly is it? It's definitely a topic that has been talked about over the past few years but gained even more prominence after it became a focal point of conversation at the recent World Economic Forum. The first Industrial Revolution was characterized by steam and water. The second Industrial Revolution was the introduction of electricity to mass produce things. The third is characterized by the internet, communication technologies, and the digitalization of everything. The fourth Industrial Revolution is the concept of blurring the real world with the technological world.
The President wants to stimulate at least $1.5 trillion in new investment, shorten project permitting time to two years, invest in rural projects and improve worker training — but approval faces an uphill path.
In an era marked by rapid advances in automation and artificial intelligence, new research assesses the jobs lost and jobs gained under different scenarios through 2030.
The technology-driven world in which we live is a world filled with promise but also challenges. Cars that drive themselves, machines that read X-rays, and algorithms that respond to customer-service inquiries are all manifestations of powerful new forms of automation. Yet even as these technologies increase productivity and improve our lives, their use will substitute for some work activities humans currently perform—a development that has sparked much public concern.
Building on January 2017 report on automation, McKinsey Global Institute’s latest report, Jobs lost, jobs gained: Workforce transitions in a time of automation (PDF–5MB), assesses the number and types of jobs that might be created under different scenarios through 2030 and compares that to the jobs that could be lost to automation.
The results reveal a rich mosaic of potential shifts in occupations in the years ahead, with important implications for workforce skills and wages. Our key finding is that while there may be enough work to maintain full employment to 2030 under most scenarios, the transitions will be very challenging—matching or even exceeding the scale of shifts out of agriculture and manufacturing we have seen in the past.
With IoT-enabled machines and predictive maintenance becoming more commonplace, OEMs must adapt to a more service-oriented model, making HaaS an intriguing solution to stay ahead.
We’ve all been there: those times you need to argue your point of view to someone who you know disagrees with you. You immediately go to your keyboard and start to type out that 280-character tweet, the Facebook reply, or a paragraphs-long email. Surely the reason, logic, and sheer power of your written words will convince whoever it is who disagrees with you to see your point of view? But new research suggests these written arguments may not be the best approach.
The largest generation in the U.S. is taking its place in manufacturing -- and the experts are betting this tech-savvy cohort is ready to stir things up.
Laws affecting inquiries into the criminal histories of job applicants and workplace drug testing are among the issues manufacturers will grapple with in 2018.