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Content related to Industry Panel: Different Applications of a Semantic Layer — Takeaways Blog

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

Change Management: If It’s Not Integrated, It’s Not Going to Work

Series Introduction Effective change management requires the ultimate war-room strategy. You must win over the hearts and minds of the people and ensure those hearts and minds lead to hands doing things in the new way for the long run. … 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

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