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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2025.data
 versity.net/sessionPop.cfm?confid=164&proposalid=15959\n\n\n\n\n\n\nAs orga
 nizations embrace AI, data stewardship remains undervalued and often treate
 d as an informal, volunteer-driven activity. This approach is unsustainable
  in an era where competitive advantage, regulatory compliance, and ethical 
 AI practices depend on well-governed data. Most organizations are unprepare
 d to manage data effectively as a strategic asset, limiting their ability t
 o harness AI’s full potential.\n\nThis tutorial addresses the urgent 
 need for intentional stewardship, offering practical guidance to:\n\n
 Align data domains and critical data elements with organizational AI strate
 gies.\n
 Engage business, technical, and governance stakeholders in stewardship effo
 rts.\n	Establish clear accountabilities across data domains.\n
 Integrate Data and AI governance into a unified framework to prevent confli
 cts.\n
 Create standardized processes for data assessment, cataloging, maintenance,
  and remediation.\n\nJoin us to learn how to transition from organic stewar
 dship to structured, scalable governance that drives AI success while meeti
 ng compliance and ethical standards.\n\nNOTE: Bring your data team&rsq
 uo;s org chart and company org chart (if you have it) in case you’d l
 ike to make specific notes as you learn about how to apply the lessons lear
 ned to your own organization. \n\n\n\n\n\n\n
DTSTART:20250505T134500
SUMMARY:T17: Reimagining Data Stewardship for the AI Era: Governance for Co
 mpetitive and Ethical Advantage
DTEND:20250505T165959
LOCATION: See Description
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