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DTSTAMP:20260713T055054Z
DESCRIPTION:Click for Latest Location Information: http://edw2022digital.da
 taversity.net/sessionPop.cfm?confid=149&proposalid=13641\nBusiness need: Cr
 eating a companion diagnostic AI/ML tool for a pharmaceutical company's
  medicine. \nToo often in companies, there is a chasm between data sci
 entists and data management professionals. In this case study, we expl
 ore how one company's desire to build AI and machine learning models fo
 r diagnostic purposes resulted in positive collaboration between the data a
 rchitecture and management group and the Artificial Intelligence and Machin
 e Learning department.\nYou will learn:\n\n
 How the DAMA data management knowledge areas, AI/ML, and FDA regulatory con
 cerns intersect with each other\n
 How the author and their peers won the trust of the AI/ML group\n
 How a custom metadata management tool using graph technology went from idea
  to production release in 9 months\n
 How that tool fits into the broader data architecture landscape, and what t
 he next steps are in addressing data management to support AI/ML\n\n
DTSTART:20220419T134000
SUMMARY:The AI/ML Ambassador: Weaving Data Management into the Artificial I
 ntelligence and Machine Learning Landscape
DTEND:20220419T142959
LOCATION: See Description
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