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DTSTAMP:20260722T235918Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16783\nMost organization
 s still manage data using approaches designed for a different era, focusing
  on isolated controls, siloed ownership, and after-the-fact validation. Yet
  today's business environment demands something more: trusted, transpar
 ent, and continuously governed data that can support AI, analytics, regulat
 ory compliance, and strategic decision making.\n\nDrawing from his book Dat
 a Management 3.0, Michael introduces a practical framework that helps organ
 izations move from governing individual data elements to managing end-to-en
 d data supply chains. Through real-world examples and actionable frameworks
 , attendees will learn how leading organizations are modernizing governance
 , improving data quality, implementing data certification, and creating ope
 rating models that balance centralized standards with distributed ownership
 . The session offers a roadmap for transforming data management from a comp
 liance exercise into a strategic business capability.
DTSTART:20261117T120000
SUMMARY:Data Management 3.0: Evolving Governance, Quality, and Certificatio
 n to Build Trusted Data
DTEND:20261117T124459
LOCATION: See Description
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