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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16295\nAs organizations ac
 celerate their adoption of AI and GenAI technologies, the need for “A
 I-ready” data—clean, mature, and well-prepared—has become
  paramount. This presentation introduces a comprehensive framework develope
 d at Vanguard for achieving AI-ready data across the enterprise. The framew
 ork is built on eight foundational tenets: Organization and Ownership,
  Data Management, Timeliness, Performance, Consistent Product Development, 
 Resiliency, Security, and Governance.\n\nThrough practical examples, includ
 ing an end-to-end client address change workflow, the framework demonstrate
 s how these principles apply to both deterministic (structured, semi-struct
 ured, unstructured) and non-deterministic (prompt-driven, model-generated) 
 data. The approach emphasizes the interconnectedness of operational, analyt
 ical, and GenAI data needs, advocating for a holistic, domain-driven design
  and a shared responsibility model between platform enablers and data produ
 cers.\n\nAttendees will gain actionable insights into reducing data pre-pro
 cessing time, improving model accuracy, minimizing bias, and ensuring regul
 atory compliance—while maintaining agility to adapt to emerging AI te
 chnologies. The session will conclude with a roadmap for maturing data prac
 tices and building a sustainable foundation for effective AI applications.\
 n
DTSTART:20260505T101500
SUMMARY:Panel: Make Your Data AI-Ready: A Comprehensive Framework
DTEND:20260505T105959
LOCATION: See Description
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