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DTSTAMP:20260429T054952Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16648\nMost AI governance 
 programs have a structural blind spot. Not in the policies. Not in the qual
 ity scorecards. In the identity layer — the one piece of infrastructu
 re that determines whether your AI actually knows who it's making decis
 ions about.\n\nIn this live 30-minute demo, you will watch a running Senzin
 g Agentic Entity Resolution system do what MDM programs and probabilistic m
 atching consistently fail to do: resolve fragmented entity records across m
 ultiple sources in real time, with a complete audit trail and full explaina
 bility.\n\nThe session builds to a single high-stakes moment — a sanc
 tions record loaded live, resolving against an existing entity through a na
 me variant match that no rule was written for and no batch job would have c
 aught.\n\nThis is not a slide deck. It is a running system. Bring your ques
 tions about how it handles your data, your sources, and your governance req
 uirements.\n
DTSTART:20260506T104500
SUMMARY:When Identity Fails, Governance Fails: A Live Senzing Agentic Entit
 y Resolution Demo
DTEND:20260506T111459
LOCATION: See Description
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