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DTSTAMP:20260511T025622Z
DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi
 ty.net/sessionPop.cfm?confid=121&proposalid=9434\n<p>As we see all around u
 s, change is rapidly becoming the norm, not the exception. Whether it is th
 e rise of machine learning, AI, robotic process automation, or the ever-inc
 reasing focus by regulators on data management/privacy, companies are tryin
 g hard to understand and integrate these changes into their data management
  models - more reactive and with little forethought. If these changes conti
 nue at the same pace, what would the data governance operating model look l
 ike in 10-years? While this may not seem like the right question today give
 n all the current challenges, it is imperative that&nbsp;we break out of th
 e reactive model&nbsp;and start thinking about how data management needs to
  evolve over time. This session will provide insight into:&nbsp;</p>\n\n
 The disruptive forces that are affecting change today and in the future\n
 Potential implications of future change in data governance and data managem
 ent&nbsp;\n
 What a future state data governance operating model could look like\n
 What a data governance/management roadmap might look like to get us to the 
 future\n\n
DTSTART:20180424T133000
SUMMARY:The Future (Of Data Governance) Ain't What It Used to Be - A Practi
 tioner’s Perspective on the Future of Data Governance
DTEND:20180424T142959
LOCATION: See Description
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