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DTSTAMP:20260429T054834Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16624\nEnterprise AI succe
 ss requires more than data access—it depends on trusted, governed, AI
 -ready context across both structured and unstructured data, supported by a
 n architecture that can optimize cost and performance by workload. For many
  organizations, existing data governance programs were built for human-scal
 e consumption—not for the speed, scale, and automation demands of mod
 ern analytics and generative AI. As AI adoption accelerates, organizations 
 need a new approach that embeds governance, lineage, quality, and policy en
 forcement directly into how data is discovered, accessed, and used.\n\nIn t
 his session, learn how IBM watsonx.data intelligence helps organizations de
 liver governed, AI-ready access to enterprise data across hybrid and multi-
 cloud environments. With built-in automation, lineage, data quality, and a 
 governed MCP server, IBM enables teams to scale analytics and generative AI
  with greater security, transparency, and compliance by design. We’ll
  show how a fully managed data intelligence platform can unify discovery, g
 overnance, lineage, and AI-powered automation—helping organizations a
 ccelerate AI adoption while maintaining trust and control.
DTSTART:20260505T130000
SUMMARY:Fueling AI Agents with Trusted, Governed Context
DTEND:20260505T132959
LOCATION: See Description
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