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DTSTAMP:20260423T040736Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12723\nTo support ubiquitous AI
 , a Knowledge Graph system will have to fuse and integrate data, not just i
 n representation, but in context (ontologies, metadata, domain knowledge, t
 erminology systems) and time (temporal relationships between component
 s of data). Building from "Entities" (e.g. Custome
 rs, Patients, Bill of Materials) requires a new data model approach that un
 ifies typical enterprise data with knowledge bases such as industry terms a
 nd other domain knowledge. \nThe Entity-Event Data Model we will prese
 nt puts core entities of interest at the center, and then collects several 
 layers of knowledge related to the entity as "Events." Using this
  novel data model approach, organizations gain a holistic view of customers
 , patients, students, or important entities and the ability to discover dee
 p connections, uncover new patterns, and attain explainable results.\nDurin
 g this presentation we will explain and demonstrate how Entity-Event Knowle
 dge Graphs are the future of AI in the enterprise.\n
DTSTART:20210421T124000
SUMMARY:Entity-Event Knowledge Graphs for Data-Centric Organizations
DTEND:20210421T132959
LOCATION: See Description
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