Technology Implementation

How do we know whether algorithmic systems are working as intended? A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools.

Many companies develop AI models without a solid foundation on which to base predictions — leading to mistrust and failures. Here’s how statistics can help improve results.

Lessons from two leading hospital systems show how to overcome the obstacles to automation.

Managers must make deliberate choices to support older workers’ use of complex technologies.

Those that succeed with this difficult work break it into three stages, each with its own guiding metrics.