Artificial Intelligence

10 comments from the past year that we found especially insightful.

This year’s most popular articles examine how new technology is transforming and disrupting the way we work.

Getting started with AI means understanding its capabilities, its limitations, and the ethics of its use.

To make AI a strategic differentiator, organizations need to draw from alternative data sets.

As AI develops better decision-making skills, leaders may feel threatened and push back.

Australian social service agencies are taking the lead in using bots to improve services.

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?

Getting business value from AI means separating myths from facts.

An industry executive and a scholar discuss how AI-based tools can transform the retail business.

Banks need a clear AI strategy to get digital transformation right.

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.

Makers of AI applications should stop overpromising, be transparent, and consider certification.

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

Prediction is appealing, but detection may be equally valuable for businesses.

The 2018 Artificial Intelligence Report by MIT SMR shows early leaders pushing forward with an eye toward scale.

Consulting is vulnerable to technology and market forces that are disrupting services everywhere.

In the growth of artificial intelligence, technology is changing faster than society can keep up.

Viewing technology as a set of solutions misses opportunities to innovate in bigger, bolder ways.

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