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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2025.data
 versity.net/sessionPop.cfm?confid=164&proposalid=16036\nThe rapid advanceme
 nts in Large Language Models and Generative AI have heightened expectations
  for delivering high-quality, reliable, and ethical data solutions. However
 , a common misconception persists that the Data Management Body of Knowledg
 e (DMBOK2®) from DAMA and the Data Capability Assessment Model (DCAM) f
 rom Enterprise Data Management Council are interchangeable and competing fr
 ameworks.\n\nThis session aims to clarify the distinct yet complementary ro
 les of DMBOK2® and DCAM, demonstrating how their integration can s
 ignificantly enhance data management practices, particularly in the context
  of Generative AI.\nObjectives:\n\n
 Clarify Roles and Purposes: Understand the unique purposes of DMBOK2®&n
 bsp;as a comprehensive guide to data management practices and DCAM as a mea
 surement tool for assessing data management capabilities.\n
 Dispel Misconceptions: Address and correct the misunderstanding that DMBOK2
 ® and DCAM are competing frameworks.\n
 Highlight Integration Benefits: Showcase how combining DMBOK2® and
  DCAM can create a unified framework that adds significant value to enterpr
 ise data management programs. We will also showcase how these frameworks ca
 n be applied to the Kingdom of Saudi Arabia National Data Management Office
  (NDMO) standard and in support of their National Data Index (NDI).\n
 Focus on Generative AI: Define the unique challenges of managing data for G
 enerative AI projects and discuss how DMBOK2® and DCAM can address
  these challenges.\n
 Provide Practical Insights: Offer practical steps and useful insights to he
 lp organizations accelerate their Generative AI data management projects us
 ing both DMBOK2® and DCAM frameworks.\n\nJoin us to explore a clea
 r roadmap for integrating DMBOK2® and DCAM into Enterprise Data Go
 vernance operating models and learn how to leverage their strengths to buil
 d a well-governed data management environment that enables successful AI in
 itiatives.\nThis session is essential for data management professionals see
 king to align their practices with the latest advancements in AI and maximi
 ze the value of their data management programs.\n
DTSTART:20250507T083000
SUMMARY:Integrating DMBOK2® and DCAM for Enhanced Data Management in AI Pro
 jects
DTEND:20250507T091459
LOCATION: See Description
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