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DTSTAMP:20260521T141304Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2024east.data
 versity.net/sessionPop.cfm?confid=162&proposalid=15798\nIt is no secret tha
 t artificial intelligence, as powerful as it is, depends on high-quality da
 ta.&nbsp;Bad data compromises individual projects, can embarrass companies 
 in the public eye, and exposes companies to legal liabilities.&nbsp;At the 
 same time, the data quality requirements are broader, deeper, and tougher f
 or AI than for anything else.&nbsp;&nbsp;\n\nThis session covers the full r
 ange of issues and points the way to resolution:\n\n	\n
 Why:&nbsp;Explores why high-quality data is so important\n	\n	\n
 What: Explores the full range of requirements\n	\n	\n
 Who:&nbsp;Explores the full range of people needed to meet the requirements
  (Hint: Data engineers have only a minor role to play)\n	\n	\n
 How:&nbsp;Explores how people and companies should attack the requirements&
 nbsp;\n
 \n\nOrganizations need to do a lot of work to succeed here. This session al
 so features three, easy first steps aimed at helping attendees get a feel f
 or the work to get their companies moving in more fruitful directions.
DTSTART:20241209T134500
SUMMARY:T14: Data Quality for AI
DTEND:20241209T165959
LOCATION: See Description
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