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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16793\nAdvanced Analytic
 s and GenAI capabilities are already making an impact across multiple indus
 tries. Data Governance frameworks have struggled to keep pace with thi
 s rapid evolution. The AI revolution spurs on markets, but with activity wi
 thout discipline - the gap this presentation fills. This is because pr
 agmatic AI governance is best implemented as a disciplined extension o
 f data governance, not a greenfield build.\n\nThis session will include:\n\
 n
 Overview of two complementary AI frameworks that form a durable spine 
 for AI Governance\n
 Current AI regulation: It's a moving target, which is itself a str
 ategic message that must be addressed\n
 Outline the "bridge disciplines" of Data Governance that are tran
 sferable and the forward-looking elements that are reachable with a solid D
 ata Governance Foundation\n
 How to identify and define AI-specific failure modes as data-governance pro
 blems\n
 Practical examples of how to leverage AI capabilities to address AI Governa
 nce gaps\n
 A pragmatic AI Governance implementation roadmap with an incremental/phased
  approach\n\n
DTSTART:20261116T134500
SUMMARY:AI Governing AI - A Pragmatic Approach
DTEND:20261116T165959
LOCATION: See Description
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