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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16819\nOrganizations tod
 ay must deliver trusted, compliant, and business-ready data faster than eve
 r while managing increasing complexity around AI, access management, stewar
 dship, and transparency. The Data Governance &amp; Enablement 360 framework
  provides a practical, end-to-end approach to managing data from initial in
 take through business use. It brings together governance, AI-driven insight
 s, access automation, alerting, and data enablement to create a consistent 
 and transparent data experience across the organization. This session will 
 walk through how to connect these capabilities into a single operating mode
 l. Starting with a structured intake process, teams can clearly define how 
 data is sourced, used, and shared. AI-driven governance helps review contra
 cts and policies more efficiently, while automated access and alerting ensu
 re the right controls stay in place without slowing down the business. The 
 framework focuses on making governance actionable. By embedding stewardship
 , data quality checks, and lineage into everyday workflows, organizations c
 an reduce risk while improving speed and confidence in data usage. Attendee
 s will see how this approach supports both compliance requirements and real
  business outcomes.\n\n
 How to implement a standardized intake-to-consumption governance model\n
 Using AI to support governance decisions and contract review\n
 Automating data access and alerts to strengthen control without adding fric
 tion\n
 Embedding stewardship, quality, and lineage into business workflows\n
 Improving transparency and trust across the data lifecycle\n\n
DTSTART:20261118T113000
SUMMARY:Data Governance 360: Connecting Governance, AI, and Enablement
DTEND:20261118T121459
LOCATION: See Description
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