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DTSTAMP:20260516T173355Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2025.data
 versity.net/sessionPop.cfm?confid=164&proposalid=15993\nGenerative AI is tr
 ansforming the business landscape, but scaling its adoption across an organ
 ization requires a robust data management (DM) strategy and active engageme
 nt from business stakeholders. This workshop equips participants with actio
 nable insights to navigate the complexities of GenAI-led data usage, captur
 ing value metrics, and AI ecosystems that allow for planned data investment
  strategy. An awareness and design planing around these elements&nbsp;are c
 rucial for scaling AI initiatives.\n\nTo successfully scale an AI strategy 
 from a Proof of Concept (POC) to an operational stage and ultimately to an 
 enterprise-level program, organizations must expand DM planning and integra
 te comprehensive ROI assessments to support a strong financial business cas
 e. Starting with the POC, the workshop explores how small-scale implementat
 ions test feasibility with minimal risk. As AI transitions to operational s
 caling, participants will address challenges such as data complexity, gover
 nance, and financial planning. Finally, the session will delve into enterpr
 ise-wide integration, highlighting comprehensive governance, advanced infra
 structure, and alignment with organizational goals.\n&nbsp;\n\n\n
 The workshop anchors its approach in Data and Information Management (DIM) 
 frameworks such as DMBOK, FAIR, and IMF, ensuring scalable, responsible, an
 d efficient AI systems.\n
 Through interactive activities, including guided discussions, maturity asse
 ssments, and the development of actionable checklists, participants will be
  empowered to align their generative AI journey with strategic objectives&m
 dash;starting with effective data management.\n\n\n
DTSTART:20250505T134500
SUMMARY:T10: Data Strategy for Scaling Your AI Program
DTEND:20250505T165959
LOCATION: See Description
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