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 ...

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Regardless of if you handle data quality management with a more manual or automated approach, it’s important to have several policies and frameworks in place to support the overall process ...

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 ...

Panellists acknowledged that there are efficiency improvements that firms have achieved from introducing AI. “I’ve seen organisations who have fully digitised their data capture approach. Where ...

During the design process, engineers now must wrestle with the data and metadata of each individual chiplet, the interconnects, the package, and the overall system. This can include multiple ...