Automation

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.

Leaders at the forefront of making organizations AI-driven have seven key attributes.

AI technology is not just an experiment.

In an uncertain world, supply chains must adopt flexibility and automation to gain sustainable advantage.

Innovation-focused adopters of AI are positioning themselves for growth, which tends to stimulate jobs.

Machine learning is susceptible to unintended biases that require careful planning to avoid.

Many countries with aging populations are also experiencing growth in their gross domestic product.

As you explore how software bots can automate tasks, keep in mind some of the accompanying risks.

AI systems can now make accurate, independent decisions — but they still need human inputs.

It pays to ask yourself whether your job is common and repetitive enough to be done by a machine.

A new phase of technology-enhanced work is upon us.

The value of enterprise-level AI depends on what an organization’s people do with it.

The 2017 Data & Analytics Report by MIT Sloan Management Review finds that companies that embraced analytics have begun to find new ways to derive strategic benefit from analytics.