Companies struggle to fully develop AI in more than a handful of business functions or to accelerate the shift from pilots to ...

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

RushData is an integrated high-throughput platform combining 1-day CHO expression, rapid binding analytics, and early ...

Establishing structured audit standards around facts, assumptions, and behavior to enable precise tracing of decision ...

Knowledge Grid, the company defining the Cognitive Data Layer for AI, today announced a study showing an AI model's verdict ...

Data’s role as a strategic asset has become increasingly prominent in recent years, chiseled into sharp relief by the numerous organizations using it successfully to respond to rapidly changing market ...

Machine learning models built only from pre-chemotherapy data predicted severe neutropenia in breast cancer patients with ...

Data poisoning manipulates training, fine-tuning, evaluation, or retrieval data so an AI system learns corrupted behavior or ...

Data modeling is the process of creating a simplified visual diagram of a software system and the data elements it contains, using text and symbols to represent the data and how it flows. Data models ...

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 ...