AI & Machine Learning

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.

AI offers a potential solution to the problem of training employees how to find and use data.

How is business actually using artificial intelligence?

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.

In the first half of 2017, these MIT SMR articles attracted the most readers.

A panel at the 2017 MIT CIO Symposium discusses how artificial intelligence will transform how we work.

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

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.

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?

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

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

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.