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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2025.data
 versity.net/sessionPop.cfm?confid=164&proposalid=15968\nThis tutorial demon
 strates the approaches of leading industry authorities to designing data an
 d AI strategies and compares them with strategies developed and made public
 ly available by various institutions worldwide.\n\nMany companies have laun
 ched data management and AI initiatives, but only a few have developed comp
 rehensive data management and AI strategies. Leading industry authorities p
 rovide models for designing these strategies, yet practical implementation 
 often deviates from theoretical frameworks. By examining publicly available
  data strategies from organizations worldwide, participants will gain insig
 hts into transforming abstract concepts into actionable strategies that fit
  an organization's goals, needs, and resources.\n\nKey takeaways:\n\n
 Mastering Foundational Frameworks: Gain a comprehensive understanding 
 of the structures and components of data management strategies based on ind
 ustry-leading guidelines such as DAMA-DMBOK2 and Gartner, as well as AI str
 ategy frameworks from Microsoft, Gartner, IBM, and Harvard.\n	 \n
 Crafting Aligned Strategies: Learn how to develop integrated data and 
 AI strategies using a proven strategy development model. Understand how to 
 determine the optimal level of alignment between these strategies to meet o
 rganizational needs while creating unified capability maps and practices.\n
  \n
 Bridging Theory and Practice: Explore real-world examples to identify 
 gaps between theoretical guidelines and practical implementation. Analyze p
 ublicly available strategies and case studies to uncover actionable insight
 s and apply best practices to your organization.\n\n
DTSTART:20250505T083000
SUMMARY:T1: Strategic Frameworks for Data and AI
DTEND:20250505T114459
LOCATION: See Description
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