As AI adoption accelerates, only strong data governance can ensure trust, compliance, and value at enterprise scale.

Video-Based Anomaly Detection, Urban Surveillance, Scale-Projective Ambiguity, Riemannian Manifold, Scale-Covariant Tracking, ...

Artificial intelligence is only as strong as the data behind it. Healthcare leaders are working with their teams to build the infrastructure, governance, and culture necessary to support AI at scale.

Integrating data and models is essential for advancing our understanding and management of water resources in an era of rapid ...

Third time’s the charm? Microsoft hopes the scalability of Azure HorizonDB, will lure new customers where its two existing ...

Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.

Interventions targeting drinking water safety and responsible dog management could reduce echinococcosis incidence in China.

DiffusionData, a provider of a secure, real-time data server, is introducing an open source implementation of the Model Context Protocol (MCP) that lets AI assistants interact with Diffusion in ...

Abstract: For industrial processes, it is significant to carry out the dynamic modeling of data series for quality prediction. However, there are often different sampling rates between the input and ...

I traded cloud convenience for total control, and Trilium Next turned out to be one of the most powerful Notion replacements I’ve ever used for notes ...

Scripps Center for Metabolomics and Mass Spectrometry, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States Scripps Center for Metabolomics and Mass ...