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DTSTAMP:20260514T063630Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12914\n88 percent of data goes 
 untouched, based on data studies conducted, because it’s hard to find
  which information is valuable and which is best left ignored. Why? Even th
 ough the value of Data Management is well understood by enterprises, it&rsq
 uo;s difficult to master all its requirements around people, process, and t
 echnology. All of these Data Management facets take time and effort and rel
 y on traditional manual practices that don't scale with the growth in d
 ata. So we need a pragmatic shift in how we approach data — a way tha
 t can autonomously help us manage data smarter — with a focus towards
  Data Quality.
DTSTART:20210421T120000
SUMMARY:Manage Data Smarter Using AI/ML-Powered Data Quality
DTEND:20210421T122959
LOCATION: See Description
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