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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16836\nGenAI, LLMs, and 
 multimodal AI have made unstructured data (documents, emails, chats, images
 , audio, and video) the core fuel for AI-powered insight and automation, no
 t just a byproduct of business activity. When this content is poorly unders
 tood, scattered, weakly classified, and loosely governed, it degrades model
  quality, complicates AI explainability, slows incident response, and makes
  it harder to demonstrate responsible AI practices to auditors and regulato
 rs.\n\nThis half-day tutorial is designed for data and business leaders who
  need to move beyond generic content governance and build governance explic
 itly engineered for AI and advanced analytics. The session focuses on concr
 ete steps to bring order and accountability to the content that now feeds A
 I and analytics, extending familiar governance disciplines rather than rein
 venting them.\n\nParticipants will learn how to:\n\n
 Spot where unstructured data is already driving GenAI and LLM behavior, and
  frame tangible AI-specific risks and opportunities\n
 Adapt traditional information governance practices (classification, retenti
 on, legal holds, disposition) into AI-ready controls\n
 Leverage data architecture, metadata, and semantic enrichment\n
 Leverage intelligent document processing and computer vision to jump-start 
 classification, enrich context, and flag high-risk or low-quality\n
 Define clear roles, decision rights, and stewardship for unstructured conte
 nt, including in the context of AI development, deployment, and monitoring\
 n
 Embed unstructured data governance in AI Governance\n\nAttendees will leave
  with a pragmatic framework for the governance of unstructured data that th
 ey can implement immediately in order to build a durable and pragmatic unst
 ructured data governance capability that directly supports trustworthy AI.
DTSTART:20261116T083000
SUMMARY:Taming the Wild: How to Govern Unstructured Data for Trusted AI and
  Business Outcomes
DTEND:20261116T114459
LOCATION: See Description
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