Understanding potential pitfalls—and how to overcome them—can help organizations maximize the value of this technology.

All these data needs to be organized and validated – prepared for business analytics. Knowledge Management can be defined in many ways as it spans many multi-disciplinary approaches – content ...

While access to data drives decision-making and innovation, the fragmentation of knowledge across countless tools and ...

Join the brightest minds in knowledge and information management at KMWorld 2023 this November in Washington ... critical knowledge and business value from your organizational data. Join us as we ...

By leveraging advanced tools and expert knowledge, an e-discovery attorney can reduce the volume of data requiring review, saving time and resources.

By Kenneth Owusu Asante AMPONSAH Managing employee knowledge and skills—termed “human data”—is a critical but frequently overlooked aspect of risk management in financial institutions.This article ...

Embrace better data management practicesCompanies and government often approach data management, engineering and analysis with complete and total confusion. By Ferdinand Steenkamp, Co-founder, Tregter ...

Appropriate knowledge management methods and supporting technology are needed to establish and manage nuclear knowledge, competencies, information and records, work processes, data interpretation, and ...

D2K is an exemplar of collaborative cross-disciplinary research in data science and social science related to health and biomedicine. The Data to Knowledge Research Group (D2K) focuses on methods, ...