Data, AI, & Machine Learning

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

Most AI/machine learning projects report only on technical metrics that don’t tell leaders how much business value could be delivered. To prevent project failures, press for business metrics instead.

When individuals trust that a company is using their data responsibly, they are willing to share more data, enabling the company to increase its customer engagement.

Changing how leaders make decisions takes time. But it's faster and easier with a systematic approach and strategic use of big data analytics.

A new framework helps leaders orchestrate human and AI agents to accurately forecast product demand.