BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260520T230716Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16547\nScaling Data Govern
 ance is a challenge, especially in organizations still maturing their pract
 ices or operating in non-regulated environments. Communication and document
 ation often rely on informal processes, making consistency and visibility d
 ifficult. This session demonstrates how generative AI can be a practical al
 ly—offloading routine communications, formalizing documentation, and 
 supporting decision-making. Drawing on real-world examples, attendees will 
 learn how AI tools can aggregate internal data, streamline research for too
 l selection, organize weekly activities with data stewards, write business 
 cases, and evaluate vendors for RFPs. Each use case is presented with a reu
 sable template, enabling participants to adapt solutions to their own organ
 izations, regardless of the specific AI platform. The session also covers b
 est practices for maintaining human oversight (“human-in-the-loop&rdq
 uo;) to ensure governance remains robust and accountable.\n\nKey Takeaways:
 \n\n	Practical AI use cases for governance\n
 Templates for immediate application\n
 Tips for human-in-the-loop oversight\n
 Vendor evaluation and business case support\n
 Tool-agnostic approaches for scalability\n\n
DTSTART:20260504T134500
SUMMARY:T13: AI in Action: Practical Approaches to Scaling Data Governance
DTEND:20260504T165959
LOCATION: See Description
END:VEVENT
END:VCALENDAR