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DTSTAMP:20260429T055035Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16382\nAI agents don&rsquo
 ;t fail because the models aren’t capable — they fail because t
 hey’re asked to operate without the trusted, governed, real-time cont
 ext needed to make sound decisions. In the enterprise, AI is only as reliab
 le as the data behind it, and that data is often fragmented across systems,
  unevenly governed, and difficult to interpret when it matters most.\n\nAs 
 organizations move AI agents from experimentation into critical workflows, 
 this gap between intelligence and context becomes the real barrier to scale
 . For data and AI leaders, the challenge is no longer just making data acce
 ssible — it’s making it trustworthy and contextualized for AI-d
 riven action. This session will explore a practical framework for deliverin
 g context-rich, AI-ready data that enables agents to operate with greater a
 ccuracy, trust, and business relevance across the organization.\n
DTSTART:20260505T111500
SUMMARY:Why AI Agents Fail Without Real-Time, Trusted Context
DTEND:20260505T115959
LOCATION: See Description
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