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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16594\nDespite inspiring t
 echnologies and unprecedented investments, all is not well in the world of 
 AI. Generative AI produces so much “slop” that The Economi
 st recognized it as their word of 2025. It’s no great leap to co
 nclude that quality data makes or breaks AI.  \n\nThis tutorial a
 ims to help attendees craft some first steps for themselves and their compa
 nies:\n\n
 We will start with an example that underscores why success with AI depends 
 on high-quality data.\n
 Companies need to “get the basics right.” We’ll summ
 arize these basics and illustrate how those with the best data use them.\n
 AI presents some special challenges (e.g., unstructured data). We’ll 
 discuss what we know so far about attacking these challenges.\n
 We’ll issue a full-throated warning not to underestimate the issues.&
 nbsp; \n\nThroughout this session, we will explore the critical roles 
 of people in attacking data quality for AI.\n
DTSTART:20260504T134500
SUMMARY:T14: Data Quality for AI
DTEND:20260504T165959
LOCATION: See Description
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