Forbes contributors publish independent expert analyses and insights. Kathleen Walch covers AI, ML, and big data best practices. The “Inference” Phase of AI Projects and the Diversity of Application ...

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. To say that it’s challenging to achieve AI at scale across the enterprise would be ...

Analysis of different operationalizations shows that many scientific results may be an artifact of the operationalization process. A culture of multi-operationalization may be needed for psychological ...

New research indicates the next few years will be crucial for organizations seeking to operationalize machine learning technology, with automated anomaly detection predicted to figure prominently in ...

As AI implementation accelerates across hospitals and health systems, leaders are recognizing that successful initiatives hinge less on the sophistication or “flashiness” of the technology itself.

In 2019, the ICRC commissioned an external evaluation of the Health Care in Danger (HCiD) initiative. This evaluation took a case study approach to address a knowledge gap in how HCiD was being ...