BEGIN:VCALENDAR
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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20261010T052203Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16933\n\nAn executive pr
 esents a report to the CEO. The CEO asks a simple question: &quot;Do you tr
 ust this?&quot; The executive answers, &quot;Yes.&quot; The CEO follows wit
 h a harder question: &quot;Why?&quot;\nEverything in Information Management
  ultimately exists to help organizations answer that question.\nWhether the
  decision is based on a dashboard, a report, a predictive model, or an AI r
 ecommendation, someone must be able to explain why the information was trus
 ted and what is being done to improve that trust over time. This session re
 frames Information Management with accountability as its organizing princip
 le, extending throughout the organization, from operational staff to execut
 ives and the board, creating an unbroken chain of evidence and trust.&nbsp;
 \nData Accountability is the discipline of making, explaining, evaluating, 
 and continuously improving trustworthy decisions. It extends beyond traditi
 onal data governance by focusing on the people who make decisions, the ques
 tions they must answer, and the organizational capabilities that enable the
 m to answer those questions with confidence.\nParticipants will leave with 
 a practical framework for cultivating accountable people, designing account
 able organizations, and building a culture in which defensible decisions, r
 eliable data products, and trustworthy AI become the natural outcomes of ac
 countable behavior.\n
DTSTART:20261118T113000
SUMMARY:Data Accountability: Why Information Management Exists
DTEND:20261118T121459
LOCATION: See Description
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END:VCALENDAR