AI

Business leaders must make the right calls on whether and how broadly to deploy AI models. Ask these tough questions.

Determining whether an AI solution is worth implementing requires looking past performance reports and finding the ground truth on which the AI has been trained and validated.

Connectors can bridge the organizational gaps that often thwart success with data science projects. Here’s how to manage this new kind of data professional.

When generative AI’s capacity for strategy creation is put to the test, it reveals where its strengths lie — and where humans still have the edge.

New machine learning technologies offer potential value creation through sound detection, analysis, and creation.