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DTSTAMP:20260421T233929Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2024west.data
 versity.net/sessionPop.cfm?confid=160&proposalid=15386\nCorporate leaders a
 re bombarded with calls to explore the benefits of Data Science, Advanced A
 nalytics, and AI projects. The articles they read and the sales materials t
 hey see describe potential gains while admitting risks and cautioning that 
 properly prepared data is key to success. However, these pitches rarely use
  the technical terminology embedded in the DMBOK and other frameworks. Inst
 ead, they use business school terminology familiar to decision-makers, mixe
 d with emerging terminology designed to evoke the benefits of new technolog
 ies, processes, and platforms.&nbsp;\n\nAll of these projects depend upon g
 uides who understand what &quot;well-prepared data&quot; means, what activi
 ties will be required, where points of risk exist and how to control them, 
 and which data/technical teams need to be involved.&nbsp;Maybe you are qual
 ified. Maybe you&#39;ve been serving in this role.\n\nBut will they know?&n
 bsp;Would project managers think of you when they&#39;re looking for expert
 ise in data industrialization, curation, interoperability, observability, e
 xplainability, or linkage assessments?\n\nThis session:\n\n
 Outlines emerging data specialties\n
 Explains new buzzwords and skill sets, and\n
 Maps them to skills, abilities, and terminology&nbsp;that you may already k
 now by another name.\n\n
DTSTART:20240604T164500
SUMMARY:Emerging Data Specialties
DTEND:20240604T172959
LOCATION: See Description
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