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DTSTAMP:20260616T130501Z
DESCRIPTION:Click for Latest Location Information: http://das2018.dataversi
 ty.net/sessionPop.cfm?confid=124&proposalid=9958\n<p style="margin: 0px;">A
 nalytics are now a generally accepted and widely used technique for Master 
 Data Management. But, despite automation, techniques remain basic and progr
 ammatic. From the lessons of the Machine Learning discipline of AI that bui
 lt Apple&#39;s Siri, the autonomous car, and other consumer technologies, t
 his session will share approaches and results from a research program that 
 demonstrates what AI is good for, and bad for, in the world of master data,
  with specific examples.</p>\n<p>With the white hot light of publicity on t
 he topic of Machine Learning, we need to understand where it can help in ou
 r disciplines.</p>\n<p>The question isn&#39;t &#39;if&#39; you will be jump
 ing on the bandwagon, but rather, &#39;when&#39;?</p>\n<p>In this session p
 articipants will:</p>\n\n
 Explore the current best practice in Data Analytics for Master Data Managem
 ent.\n
 See examples of advanced technology concepts that can be applied to our Mas
 ter Data.\n
 Discuss the impact of emerging &#39;Machine Learning&#39; data science tech
 niques.\n
 Analyze the impact of new approaches on activities involving Master Data.\n
 \n
DTSTART:20181010T110000
SUMMARY:The Impact of Artificial Intelligence on Master Data Management
DTEND:20181010T115959
LOCATION: See Description
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