Home Business Intelligence Fluree Demo: The Nice Escape – Liberating 20+ Years of Legacy Knowledge into Information Graphs and Semantics with AI 

Fluree Demo: The Nice Escape – Liberating 20+ Years of Legacy Knowledge into Information Graphs and Semantics with AI 

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Fluree Demo: The Nice Escape – Liberating 20+ Years of Legacy Knowledge into Information Graphs and Semantics with AI 

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Most massive enterprises wrestle to undertake data graphs and semantic fashions given years of investments in legacy mainframe, relational database and knowledge warehousing applied sciences.  As a result of legacy knowledge has been created and retained in supply utility schemas with zero semantic construction, the associated fee and complexity to transform to a universal-semantic knowledge mannequin is prohibitive, typically hindering data graph initiatives. How do you untrap 20+ years and petabytes of knowledge and activate it to leverage the advantages of semantics and Information Graphs?  

 
Be a part of us on this working session the place we’ll stroll by (1) advances in knowledge codecs, akin to JSON Linked Knowledge (JSON-LD), that make conversion of flat, relational knowledge into serialized RDF viable at scale; and (2) advances in machine studying and AI in knowledge classification to automate the linking of semantics to flat, structured knowledge.  By the top of this session, we could have walked by a situation utilizing Fluree Sense to combine legacy knowledge from a number of conventional knowledge shops onto a Information Graph. 

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