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DTSTAMP:20260905T143316Z
DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14521\nGraph solutions have
  gained momentum due to their wide-ranging applications across multiple ind
 ustries. Gartner predicts that graph technologies will be used in 80% of da
 ta and analytics innovations by 2025, up from 10% in 2021. Several factors 
 are driving the adoption of knowledge graphs. Specifically, the increasing 
 amount of data being generated and collected, the need to make sense of it,
  and its use in artificial intelligence and machine learning, which can ben
 efit from the structured data and context provided by knowledge graphs.\n\n
 For many organizations, however, the question remains, “Is it the rig
 ht solution for us?” We get this question regularly.\n\nThis presenta
 tion will draw upon our own experience from client projects and lessons lea
 rned to provide a selection of optimal use cases for knowledge graphs and s
 emantic solutions, along with real-world examples of their applications for
  scaled enterprise data architecture and strategy.\n
DTSTART:20230920T083000
SUMMARY:Top Graph Use Cases and Applications for Enterprise Data Management
  (with Real-World Examples)
DTEND:20230920T091459
LOCATION: See Description
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