This institutional Research Data Management Strategy is iterative and subject to change. This document will be reviewed annually by the VPRI or their delegate to ensure it remains relevant to the SFU ...

In early November, the U.S. Department of Defense released its 2023 Data, Analytics, and AI Adoption Strategy. The goal of the documentation is to unify previous strategic guidance and enable stronger ...

Informatica Inc. is turning up the volume on its agentic artificial intelligence push with today’s announcement of a series ...

Data loss can trigger massive regulatory fines and compliance nightmares, making robust backup systems and incident response planning essential for your business's survival.

The variance of data management policies across organizations and industries is high, and is indicative of the absence of benchmarking and standardization across strategies. Many organizations lack a ...

Transparency and accountability are two guiding principles that form the core of the Department of Agriculture’s new data strategy, the blueprint for handling sensitive data within the agency from ...

With disruption comes urgency and opportunity. Organizations must equip their teams to harness AI’s capabilities. In today’s ...

Data agnostic failures. "Data agnostic" platforms often fail to integrate complex systems and leave teams with inaccurate data and time-consuming workarounds. Essential data attributes. A complete, ...

Untold quantities of sensitive data reside in the huge variety of documents that accumulate over the lifetime of an organization. Keeping them safe no matter where they’re stored should be a top ...