The culture of overwork—with the expectation of incredibly long hours and interrupted vacations—is often criticized for its negative impact on workers and organizations.

Earlier this year, the Minority Business Development Agency (MBDA), a part of the U.S. Department of Commerce, celebrated its 50th anniversary.

An underlying theme emerged from the Stanford Institute for Human-Centered Artificial Intelligence’s fall conference: Artificial intelligence (AI) must be truly beneficial for humanity and not undermine people in a cold calculus of efficien

Climate plans are the order of the day in the presidential primary campaign because carbon pollution is a globa

Quality control and inventory control are equally important to the ongoing success of all manufacturing businesses.

Dell is doing it. MasterCard, too. Even universities, not exactly bastions of social media influence, are embracing it.

In today’s factories and warehouses, it’s not uncommon to see robots whizzing about, shuttling items or tools from one station to another. For the most part, robots navigate pretty easily across open layouts.

As artificial intelligence (AI) becomes increasingly ubiquitous in various industry sectors, establishing a common terminology for AI and examining its various applications is more important than ever.

With the advent of the internet, cloud, and electronic workflows, what is the future of documented management systems? Do we continue with a structure of quality manual, processes, work instructions, and forms and checklists?

The company Grace Science was born through an inversion of the normal business sequence.