Automation

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.

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.

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

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?

Done right, automation can be a win for everyone — even workers.

Businesses that make and sell products that replicate human connection are serving a deep need, but they may also be changing social norms in ways that can’t be reversed.

One key strategy for AI success: retraining employees to have the skills your company will need.

Automation will affect jobs in four ways. The path jobs take depends on what kind of value they provide — and how.

Capgemini’s Didier Bonnet explores the complexity and necessity of digital transformation in 2018.

The future of AI looks much like the present, with machines helping humans to do their jobs better, not replacing them.