The goal is not perfect data—an often impossible standard—but data sufficiently reliable for the decision it must support.​ ...

AI is forcing a reckoning with a problem enterprises have been deferring. Organizations are sitting on vast, untapped data assets accumulated across the business.

Researchers have developed a conceptual and logical modeling methodology that treats measures, granularity hierarchies, and ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is an open community data standard, designed to standardize the structure and content of observational data and to enable ...

The OpenAI Foundation is funding a new effort called Data for Public Health. Last year, the clinical trial policy analyst Ruxandra Teslo posted an idea for super-charging medical AI systems: use data ...