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Tag: Data Modeling

How to take an AI Project Beyond a Prototype

Lulit Tesfaye May 11, 2021 . Blog

Before going “all in,” we often advise our clients to first understand and quickly validate the value proposition for adopting advanced Artificial Intelligence (AI) and Machine learning (ML) solutions within their organization by engaging in a prototype or pilot. Conducting … Continue reading

Posted in
Knowledge Graphs & Data Modeling, & AI
Tagged as
AIartificial intelligencedata mappingData Modelingdata scienceenterprise aienterprise artificial intelligenceinformation architectureknowledge graphsmachine learningMetadataTaxonomy

RDF*: What is it and Why do I Need it?

Bess Schrader July 24, 2020 . Blog

RDF* (pronounced RDF star) is an extension to the Resource Description Framework (RDF) that enables RDF graphs to more intuitively represent complex interactions and attributes through the implementation of embedded triples. This allows graphs to capture relationships between more than … Continue reading

Posted in
Knowledge Graphs & Data Modeling, & AI
Tagged as
Data Modelingenterprise knowledge graphInteroperabilityknowledge graphMetadataRDFRDF starreificationresource description frameworkSemantic Data ModelsSPARQLtriplesW3Cworld wide web consortium

Enterprise AI Readiness Assessment

Lulit Tesfaye July 2, 2020 . White Paper

Understand your organization’s priority areas before committing resources to mature your information and data management solutions. Enterprise Knowledge’s AI Readiness Assessment considers your organization’s business and technical ecosystem, and identifies specific priority and gap areas to help you make
targeted investments and gain tangible value from your data and information. Continue reading

Posted in
Knowledge Graphs & Data Modeling, & AI
Tagged as
AIartificial intelligenceauto-classificationdata and information managementData Modelingenterprise aienterprise artificial intelligenceKnowledge AIKnowledge Artificial IntelligenceLinked DataMetadatametadata governanceOntologySemanticSemantic Data Modelsstructured contentTaxonomyunstructured contentunstructured data

Natural Language Processing and Taxonomy Design

EK Team June 30, 2020 . Blog

Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that processes and analyzes human language found in text. Some of the exciting capabilities that NLP offers includes parsing out the significant entities in content through a statistical analysis … Continue reading

Posted in
Knowledge Graphs & Data Modeling, & AI Taxonomy & Ontology Design
Tagged as
AIartificial intelligenceauto-classificationData GovernanceData Modelingknowledge graphnamed entity recognitionnatural language processingNERNLPOntologyrecommendation engineTaxonomy

What’s the Difference Between an Ontology and a Knowledge Graph?

Bess Schrader January 15, 2020 . White Paper

As semantic applications become increasingly hot topics in the industry, clients often come to EK asking about ontologies and knowledge graphs. Specifically, they want to know the differences between the two. Are ontologies and knowledge graphs the same thing? If … Continue reading

Posted in
Knowledge Graphs & Data Modeling, & AI Taxonomy & Ontology Design
Tagged as
Data Modelingknowledge graphOntologySemantic Data ModelsSPARQL

Lulit Tesfaye & Yanko Ivanov Speaking at Graphorum 2019

Megan Salerno October 10, 2019 . News

Enterprise Knowledge’s Lulit Tesfaye, Practice Lead for Data and Information Management, and Yanko Ivanov, Solutions Architect and Partnership Manager, are presenting at this year’s Graphorum 2019 to be held from October 14 – 17 in Chicago, Illinois. The conference provides … Continue reading

Posted in
Knowledge Graphs & Data Modeling, & AI Uncategorized
Tagged as
AIartificial intelligencedata and information managementData ModelingData StrategyEnterprise Knowledge Graphsknowledge graphs

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