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Content related to What Is An Enterprise Knowledge Graph and Why Do I Want One?

What is Artificial Intelligence (AI) for the Enterprise?

Artificial intelligence (AI) is set to be the key source of transformation, disruption, and competitive advantage in today’s fast-changing economy. Gartner estimates that AI will create $2.9 trillion in business value and 6.2 billion hours of worker productivity in 2021. … Continue reading »

Knowledge Graphs Creating a Connected Search Experience

This presentation, delivered by Joseph Hilger of Enterprise Knowledge at KMWorld 2019 in Washington, D.C., defines knowledge graphs, explores how they are implemented, and outlines how they can be used to enhance enterprise search. Knowledge graphs are changing the way search … Continue reading »

Inside the Intranet – ESEO

Optimizing the Findability of your Content on an Intranet In any organization it’s well known that inefficiencies and/or waste, especially wasted time, can significantly impact the bottom line. This is a key driver in the explosion of artificial intelligence (AI), … Continue reading »

SharePointSaga Episode 3: Upgrading and Migrating Your SharePoint System, Pt. 2 (Revenge of the Steps)

“So who talks first, you talk first, I talk first?” In the last episode, I explored important considerations when migrating/upgrading SharePoint. This episode highlights the specific steps of migrating/upgrading between particular versions of SharePoint, especially for on-premise instances. Before outlining … Continue reading »

The 5 Key Components of a Semantic Search Experience

Semantic Search extends meaning and context to your otherwise run-of-the-mill search results. This future-ready phase of search seeks to apply machine-driven understanding of user intent, query context, and the relationships between words. We broke down the primary elements that make … Continue reading »

Why a Knowledge Graph is the Best Way to Upgrade Your Taxonomy

Many organizations begin their journey in semantic solutions with a taxonomy. Taxonomies are simple information models that help organizations describe and structure their information in a hierarchy. They are effective for organizing content and data, but do not capture all … Continue reading »