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DTSTAMP:20261023T034806Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16928\nOrganizations con
 tinue to invest in data, analytics, governance, and AI, yet struggle to dem
 onstrate business value, secure executive support, and build trust in their
  data assets. The 2026 Data Management Maturity Model Assessment gathered p
 erspectives from data professionals across industries to better understand 
 the practices, challenges, and capabilities that separate high-performing o
 rganizations from those still struggling to gain traction.\nIn this session
 , we'll explore where organizations are succeeding, where maturity gaps
  remain, and what the results suggest about the future of data management. 
 We’ll present the most compelling findings from the assessment, inclu
 ding the relationships between data documentation, governance, trust, AI re
 adiness, and perceived business value. \nJoin us for an evidence-based
  look at the current state of data management and discover how you can use 
 these findings to drive more productive conversations with executives, secu
 re support for initiatives, and accelerate your organization's data jou
 rney.  Attendees will leave with practical benchmarks to compare 
 against their own organizations, and gain actionable insights to help leade
 rs understand where their organizations stand today and where investments c
 an deliver the greatest impact tomorrow.\n
DTSTART:20261118T093000
SUMMARY:Readiness, Value and Sustainability: Lessons from the 2026 Data Man
 agement Maturity Model Assessment
DTEND:20261118T101459
LOCATION: See Description
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