Managing Technology

A featured excerpt from The Mathematical Corporation by Josh Sullivan and Angela Zutavern.

For companies relying on algorithms in daily transactions, transparency is a difficult issue.

What to do when company data is breached.

Managers already struggle to put data to intelligent use; AI may add to their difficulty.

The challenges of leading companies through the AI revolution were examined in a recent symposium.

In a thought-powered world, leaders must look beyond planning and execution and inspire ingenuity.

Silicon Valley success is based on four core business principles and a willingness to stay flexible.

The novelty of self-driving cars overshadows the real promise of AI: augmentation of human skills.

How soon will smart machines start looking out for our health?

Moving to a digital business model altered Marriott’s culture in unexpected ways.

The synergism of Big Data and artificial intelligence holds amazing promise for business.

As firms work with increasingly diverse arrays of people, they need to adopt leadership standards that cross geographies.

Companies with bold strategies in response to digitization will come out as winners.

Viewing digital transformation as a maturation process may help companies limit their growing pains.

Automation brings with it questions about what to do about worker displacement.

New digital technologies are changing the rules of competition by expanding the boundaries of what a company can handle and introducing new sources of advantage.

The transformative potential of blockchain is real, but so are the challenges to its implementation.

Instead of eliminating human workers, AI may create new jobs requiring updated skills and training.

Businesses should understand that in the long run, the promise of AI is self-limiting.

The best use of digital technology is assisting human workers to maximize innate capabilities.