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DTSTAMP:20260711T080536Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2023west.data
 versity.net/sessionPop.cfm?confid=152&proposalid=14682\nData governance tea
 ms have traditionally been gatekeepers. In order to reduce risk, they would
  gate access to data, ensuring that the data didn’t end up in the wro
 ng hands – often keeping data out of the right hands as well. Innovat
 ive data teams are rethinking this paradigm and finding ways to enable data
  use rather than restrict it.\n\nOpening the floodgates, however, comes wit
 h challenges. Data governance teams are often small and must manage a huge 
 amount of data and hundreds (even thousands) of stakeholders. It’s si
 mply too much work for a small team.\n\nNow, automation, including generati
 ve AI, and the move to decentralize data governance are enhancing what
  data governance can accomplish – increasing data-driven decision-mak
 ing and driving business outcomes. Highlights of this session will include:
 \n\n	Improving data discovery and enrichment with generative AI\n
 Automating manual governance tasks to enable strategic thinking\n
 Creating a program of shared accountability – data governance is a te
 am sport\n\n
DTSTART:20230606T101500
SUMMARY:Turning Data Governance into a Business Driver with Automation and 
 Decentralization
DTEND:20230606T105959
LOCATION: See Description
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