Overcoming test data hurdles with realistic synthetic dataQuality datasets are crucial for AI training, but the need to protect real-world data can slow development and implementation. By Bryn Davies, ...

A modern healthcare data infrastructure can help you unify operations, boost patient care and drive innovation—if you build ...

DataStrike, a leader in data infrastructure managed services, announced a 600% demand for its open-source database management business ... and PDFs, into structured data by running models directly ...

Companies redefine how unstructured data is governed, integrated and activated for agentic AI, signaling a new era of ...

NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant ...

Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It ...

Traditional frameworks for regulated data protection have failed despite decades of effort, and enterprises need to move from ...

EnterpriseDB (EDB), the leading Postgres data and AI company, is announcing significant enhancements to EDB Postgres AI (EDB PG AI), the platform designed to help enterprises deploy and scale AI ...

Only 13% of enterprises globally have successfully deployed a broad set of agentic AI applications at scale, according to EDB research (May 2025). These early leaders are seeing dramatically better ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Each row represents a different model. The three bottom rows are Llama models from Meta. And as you can see, Llama 3.1 70B—a ...

LLM developers are increasingly turning to synthetic data to speed up development and reduce costs. Researchers behind ...