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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16693\n\nData Products a
 re the key to delivering scalable and sustainable AI and analytics. They ar
 e also the foundation upon which modern analytics architectures, including 
 Data Mesh and Data Fabric, are built. They encapsulate the activities and a
 rtifacts that promote trust in the data, which, in turn, accelerate insight
  delivery and increase AI quality.\n\nTo be clear, the Data Product label i
 s not a new marketing veneer laid on top of existing artifacts and curation
  processes that are too often incomplete and lack discipline. Achieving the
 se benefits requires a mindset shift and culture change. Fortunately, you d
 on't have to do it all at once. The key is to commit to the path and al
 ways keep moving forward.\n\nJoin Mark Cooper for this tutorial, where we w
 ill explore the activities, artifacts, culture, and discipline required for
  successful Data Product implementation from the perspectives of both the c
 onsumer and the provider. Topics include:\n\n\n
 Data Product Conceptual Level-Set\n
 Expectations of the Data Product Consumer\n	The Anatomy of a Data Product\n
 A Structured Process for Deploying Data Products\n\n\n
DTSTART:20261116T134500
SUMMARY:Data Products: Delivering the Foundation for AI and Analytics
DTEND:20261116T165959
LOCATION: See Description
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