Frontiers

With data, you can measure and improve performance, but that won’t facilitate breakthroughs.

Times of rapid change call for a new leadership model.

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

Fintech adoption carries threats as well as opportunities. Managers’ decisions must evaluate both.

If companies want to compete with blockchain, they must first cooperate to develop standards.

AI offers the potential to break down silos and make collaboration more effective.

To avoid bias, people-centered design principles must be the foundation of deep-learning algorithms.

Giving customers what they want quickly is a worthy goal. Businesses can’t always afford to do it.

When employees represent the views of customers, management needs to have their backs.

Small-scale piracy sometimes offers surprising benefits for IP rights holders.

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

The post-digital tech wave — a powerful, integrated stack of technologies — is coming next.

How cities deal with AI-related changes will determine which ones will thrive in the future.

Platform markets are suddenly all the rage with B2B companies. And for good reason.

Why do some business ecosystems dominate their markets over time while others fail?

While hierarchy can impede innovation, handled well it can provide important benefits.

A successful pitch for AI must overcome economic, technical, political, and cultural hurdles.

Developing-world entrepreneurs need to build networks that compensate for weak public institutions.

Consumers’ concerns about data privacy are offset by a desire for personalized service.

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