Engineering leaders rarely get perfect information, so the job is learning how to decide, experiment and communicate clearly when the data is messy.

Through training, companies are trying to nurture their best talent and promote from within while balancing the expectations of senior staff and leadership.

Trump’s admirers. “It’s perfection,” Megyn Kelly gushed on her SiriusXM show. “In my wildest dreams, I couldn’t have drafted ...

Building trust-centric AI workplaces with a clear charter—trust, transparency, augmentation, agency, equity, and source ...

DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.

Smart leaders know when to seek input and how to use it to make stronger decisions. Here's how founders can bring in outside ...

Terrorist attacks, whether by individuals or groups, are usually followed by attempts to explain the rationale and causes behind them. The core reasons, ...

Today, let's take a closer look at incident response playbooks: how to build one, tailor it for secret leaks, take actions, ...

Volunteering in the Pro-Life movement in the 1990s, I remember praying for the overturning of Roe v. Wade as if it would ...

Rev Monte Tugwete Across continents, the issue of race and race relations has been under discussion for many years with scholarship also focussing on it at the same time. However, despite progressive ...

For the first time, heavy-duty trucking fleet managers and technicians can actually partner with intelligent machines to ...