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DTSTAMP:20260520T230530Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16313\nIn today’s ra
 pidly evolving business landscape, enterprises need real-time insights to s
 upport strategic decision-making and improve business performance. In this 
 regard, data has become a critical asset to derive insights. However, most 
 organizations still struggle with fragmented, incomplete, or inconsistent d
 ata, which undermines the effectiveness of analytics and artificial intelli
 gence (AI) initiatives.\n\nTo address this, this practical workshop/course 
 equips IT, data, and business professionals with foundational and practical
  knowledge in data quality and data management frameworks—specificall
 y CACTUS and FAIR frameworks—to enhance analytics and AI readiness. B
 y applying these proven frameworks, participants will learn how to transfor
 m raw data into a trusted, reusable resource that fuels smarter decisions a
 nd drives business performance with Analytics and AI.\nDuration\n3.5 Hours,
  with a 15-minute break\nAudience\nData/Business Analysts, Data Engine
 ers, Data Scientists, ML/AI Engineers, Data Stewards, Data Governance Leads
 , Data/Solutions Architects, and Project/Program Managers\n
DTSTART:20260504T083000
SUMMARY:T4: Data Preparation for Analytics and AI
DTEND:20260504T114459
LOCATION: See Description
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