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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260520T215247Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16565\nJoin Mark and&nbsp;
 Karen for an interactive, hands-on session where you&#39;ll explore how AI 
 can transform Data Quality initiatives.\n\nAttendees will work directly wit
 h AI tools to tackle real-world data quality challenges, including:\n\n
 Data Profiling with AI:&nbsp; Automatically detect anomalies, missing value
 s, and inconsistent formats\n
 Vector Search for Similarity Detection: Identify duplicate or near-duplicat
 e records in large datasets.\n
 AI-Powered Remediation Suggestions:&nbsp; Generate targeted fixes for commo
 n issues like invalid codes or mismatched entries.\n
 Bulk Transformation with AI:&nbsp; Apply consistent changes across thousand
 s of records in seconds.\n\nThis isn&#39;t a lecture.&nbsp;You will be work
 ing live with AI to detect, remediate, and optimize data quality.&nbsp;You 
 will need to bring your own laptop.&nbsp;Exact setup instructions will be s
 hared with registered participants before the event.\n
DTSTART:20260507T083000
SUMMARY:W3: AI Data Quality Lab
DTEND:20260507T155959
LOCATION: See Description
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