New and more powerful data systems, artificial intelligence, machine learning and advanced computing have enabled companies to take “people analytics” to the next level to combat the job-hopping phenomenon, offer employees flexible and personalized rewards, and more.
If the workforce of the future will rely just as heavily on non-permanent workers—freelancers, consultants, and independent contractors—as it will on in-house employees, how can employers and leaders best optimize these relationships?
While the Girl Scouts of the USA (GSUSA) continue to sell our favorite thin mints and samoas, its leaders are working to alter the landscape of science, technology and mathematics (STEM) by continuing to promote 70 STEM-specific badges and adding new Coding for Good badges this summer.
It takes only seven seconds for a candidate to make a first impression, and it’s often based on appearance or handshake style. TNG’s Tengai, the world’s first unbiased social interview robot, removes unconscious preconceptions that managers and recruiters often bring to the hiring process.
Emerging technologies and human-machine partnerships are causing three pivotal socioeconomic shifts that will lead to a friction-free economy by 2030.
The conversation regarding robots continues, and it’s all about collaboration and cooperation with humans in the workplace. What’s the balance between over-reliance and resisting cobot technology? Will the future include a workplace where cobots have one role and humans another?
More than 60 percent of business leaders expect an increase in the number of roles requiring collaboration with AI by 2021, yet only three percent are planning significant investment in training programs. Here’s a look, and a few concrete steps, at how employers can ready the roadmap for reskilling current talent for the workforce of the future.