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DTSTAMP:20260717T012239Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16437\nTrustworthy AI depe
 nds on verified data integrity across every system and process. This sessio
 n positions data reconciliation as the nerve center of trust, integrating d
 ata quality, risk management, and governance into one unified assurance cyc
 le. Participants will see how reconciliation identifies inconsistencies at 
 the seams between systems—where most risk actually lives—and tu
 rns that discovery into actionable governance control. The session explores
  how a data reconciliation and quality engine continuously validates comple
 teness and consistency between operational and analytical platforms, ensuri
 ng transparency for auditors and confidence for executives. Attendees will 
 learn how reconciliation supports regulatory compliance, strengthens AI rel
 iability, and provides an evidence-based foundation for automated decision-
 making. Real-world frameworks will illustrate how to evolve from siloed dat
 a cleansing to systemic trust engineering.\n\nWhat the Audience Will Learn:
 \n1. The concept of reconciliation as an assurance control.\n2. How cross-s
 ystem consistency underpins AI reliability.\n3. Frameworks for regulatory e
 vidence and audit transparency.\n4. Building a culture of “trust thro
 ugh validation.”\n5. Practical roadmap for deploying reconciliation e
 nterprise-wide.\n
DTSTART:20260505T164500
SUMMARY:Data Reconciliation: The Nerve Center of Trust for Data Quality and
  AI Governance
DTEND:20260505T172959
LOCATION: See Description
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