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

Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its most fundamental level, the goal is to ensure an organization’s entire body of data ...

Modern manufacturing operates in complex environments where traditional management approaches are no longer enough. This ...

AI-driven platforms process vast datasets to identify patterns, automating tasks like metadata tagging, schema creation and data lineage mapping. This reduces manual errors and accelerates insights.

To gain a competitive edge with AI, healthcare companies should reclassify their data in a uniform way and upskill staff, industry experts say.

A “data-first” mindset is critical for businesses to unlock the full potential of AI, according to Manu Haug, field chief technology officer of Celonis.By relying on process intelligence ...

Process management, which swept the business world in the 1990s and then fell out of favor, is experiencing a renaissance, thanks to AI. The two reinforce each other: AI helps firms significantly ...

Hammerspace’s parallel data management features are powered by a technology called NFS. The technology is built directly into Linux, which in turn powers most enterprise technology environments.