Automation

AI and automation are changing labor markets worldwide, but developing nations will be hit hardest.

Three crucial steps can help companies overcome legacy approaches — without automating everything.

Avoiding the technology trap, AI needs a human touch, and good storytelling with data.

History shows we should focus more on policy than technology challenges when confronting automation.

The most effective use of AI: Symbiotic systems enabling humans and AI to work to their strengths.

This case study follows Mondelez International’s project to implement RPA as part of its AI journey.

WeWork’s disastrous week, AI breaks down business silos, and the most important leadership skill.

Must-reads for managing in a digital age: self-driving companies, flexible work, and piracy.

As AI becomes more ubiquitous, we need clear systems for keeping it in check.

The time when companies could simply ask the world to trust AI-powered products is long gone.

A webinar describing what companies need to effectively use AI and automation for operations.

Tim O’Brien explains his role as Microsoft’s first full-time manager for AI policy and ethics.

To adopt intelligent technologies, companies need to develop both the right tools and human capital.

Smart machines can help pick crops and reduce traffic — but what’s their impact on privacy?

In the race for jobs, the capacity for leisure can give humans a surprising edge.

Gillian Armstrong, Eric Kessler, John Ashley, and Abbie Lundberg discuss how to identify opportunities to automate, enhance, or innovate with AI.

A conversation with Accenture researchers on recent advances in artificial intelligence and what’s to come.

AI-powered systems are joining humans in the workforce, with implications for management strategy.

Until regulations catch up, AI-oriented companies must establish their own ethical frameworks.

What if, instead of perpetuating harmful biases, AI helped us overcome them?