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DTSTAMP:20260429T054706Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16645\nDespite years of in
 vestment in AI governance frameworks, data quality programs, and master dat
 a management, most organizations are deploying AI agents that operate on fu
 ndamentally broken identity data. Fragmented customer, entity, and relation
 ship records mean AI systems are making confident decisions about the wrong
  version of reality — and nobody is catching it.\n\nThis session expl
 ores why identity fragmentation is the silent failure mode behind today&rsq
 uo;s most critical AI governance challenges. We’ll examine how tradit
 ional approaches — MDM, CDPs, probabilistic matching — have con
 sistently fallen short, and what the rise of agentic AI demands instead. At
 tendees will leave with a practical framework for thinking about identity i
 ntelligence as foundational infrastructure, not a bolt-on feature, and a cl
 ear lens for evaluating where their own governance strategy may have a dang
 erous blind spot.\n\nDrawing on 20+ years of enterprise data experience &md
 ash; including practitioner research in data governance and decision intell
 igence — this session is deliberately education-first: you will not s
 ee a live demo. You will leave with a mental model you can apply the next m
 orning.\n
DTSTART:20260505T101500
SUMMARY:Your AI Still Doesn’t Know Who It’s Talking About
DTEND:20260505T105959
LOCATION: See Description
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