Today, for many organizations, the collective knowledge of their subject matter experts is the most important enterprise asset. This is especially true for service businesses whose experts deliver the ...

Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, using connections for decision support, and adding context to AI ...

In the late 1990s, Garry Kasparov, one of the greatest chess grandmasters of all time, lost to IBM's Deep Blue. It was a defining moment that signalled the beginning of an era where machines could ...

Applying machine learning methods to structured, expert-curated content from scientific literature is a powerful way to discover latent knowledge. Building on the QIAGEN Knowledge Base, we use this ...

The purpose of knowledge management is to harness, develop and direct the expertise of the organisation and to apply it effectively to achieve strategic objectives. Its purpose is also to encourage ...

Glenn Withers receives funding from the Australian Council of Learned Academies and the Australian Research Council. He was chair of the Expert Working Group for Australia’s Comparative Advantage, a ...

The present article describes the application of a theory-based framework to understand current public knowledge of genetic risk factors of multifactorial diseases. The main innovative aspect is the ...