Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

The research identifies two primary models for this integration: the element model and the process model. The element model focuses on the five key aspects of evaluation: who, what, when, how, and why ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Today, Atropos Health, a pioneer in translating real-world clinical data into personalized, real-world evidence and insights, published a whitepaper outlining how ...

Application of a Data Quality Framework to Ductal Carcinoma In Situ Using Electronic Health Record Data From the All of Us Research Program The availability and timing of clinician assessments was ...

Guest columnist Diane Duncan-Goldsmith asks if Iowa can use data to move the state forward.

The new API is designed to speed up the agent development and testing process so agents can be deployed in production faster. As enterprise demand for building multi-agent systems continues to grow, ...

Outside of tightly controlled environments, most robotic systems still struggle with reliability, generalization and cost. The gap between what we can demonstrate and what we can operate at scale ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...