The Answers To Your Generative AI & Knowledge Graph Questions

We recently shared with the world how generative AI matched with knowledge graph technology (in our example via Knowledge Guru) opens a world of intuitive, self-service analytics which can be...

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Your Knowledge Graph Questions, Answered

This blog post is taken from the Q&A portion of our recent Knowledge Graph Lightning Demo Showcase. The knowledge graph demo showcase hosted five unique knowledge graph use cases:

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Take Advantage of the Metadata Benefits of Graph Databases

It’s well known that graph databases represent new categories of analytics capability and potential for machine learning. If you want to create a knowledge graph, understand buyer intent, or create...

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It’s a Matter of Semantics – Reinventing Healthcare

We are witnessing awe-inspiring advances in the history of healthcare. Scientists, researchers, physicians, biopharmaceutical giants, brilliant entrepreneurs and innovative startups alike are...

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"What’s In / What’s Out for 2018" from the EDM Council

As we kick off the New Year, our friends at the Enterprise Data Management (EDM) Council have released their annual “What’s In / What’s Out for 2018,” a list predicting emerging trends that will...

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Meaning – The Conqueror of Most Maladies

A biomedical professional is certain to have come across some variant of the headlines mentioned in the visual above. Combinations of trending buzzwords in technology and healthcare form half of my...

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Semantics 101

Comprehending semantic technology is no longer an arduous task for the back offices of data-savvy organizations. Business users and C-level executives are starting to comprehend the basics of the...

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Ontologies as Conceptual Models

At Cambridge Semantics we use the W3C semantic web standards to create conceptual canonical data models, in particularly using the web ontology modeling language called OWL. The conceptual models...

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