AI & Machine Learning

Using AI to create humanlike computers is a shortsighted goal.

The fundamental disruption introduced by AlphaZero’s hyperlearning in the chess world can teach business executives about AI.

Deploying AI is very different from implementing standard software — and human input is essential.

Aspiring leaders need to harbor healthy skepticism of the digital technologies they champion.

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

New technology-driven business models are undercutting the traditional advantages of economies of scale.

Robots that use body language can have a positive effect on their human colleagues.

Microsoft has launched a $50 million initiative to figure out ways to help AI “save the world.”

The most valuable contributions of AI to the economy may be as an adjunct to advancing discoveries.

Video: Two of the biggest barriers to corporate adoption of AI are access to talent and usable data.

AI has driven soaring expectations and stock prices. So why has productivity growth declined?

The impact of artificial intelligence on the future of work and organizations was a popular topic.

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

Artificial intelligence is beginning to replace many of the workplace roles that men dominate.

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.

Artificial intelligence helps doctors make better diagnoses. It can do the same for corporate leaders.

A global survey finds that AI is delivering value to companies that use it across operations.

Identifying the optimal prices for products was once a time-consuming process. That’s changing.

The best path to AI is to establish a foundation in capturing, preparing, and analyzing data.