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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16689\nMost data and AI 
 governance efforts do not fail because frameworks are missing. They fail be
 cause execution becomes harder as organizations scale, priorities compete, 
 and accountability gets tested under real pressure.\n\nIn this candid sessi
 on, Dora Boussias draws on decades of enterprise leadership experience to e
 xplore why governance efforts often look sound on paper, yet struggle in pr
 actice. Attendees will gain practical insight into what responsible governa
 nce at scale requires in the age of AI.\n\nThis session reframes governance
  not as a checkbox exercise, but as a business discipline that enables trus
 t, responsible innovation, and measurable value.\n\nKey Takeaways\n\n
 Recognize the patterns that cause governance efforts to stall or lose momen
 tum\n
 Strengthen ownership, accountability, and execution discipline at scale\n
 Distinguish governance activity from governance that drives real outcomes\n
 Balance AI innovation with responsible oversight\n
 Reframe governance as a strategic business discipline\n\n
DTSTART:20261117T110000
SUMMARY:Beyond Frameworks: Why Data and AI Governance Breaks at Scale
DTEND:20261117T234459
LOCATION: See Description
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