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DTSTAMP:20260521T141019Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2024east.data
 versity.net/sessionPop.cfm?confid=162&proposalid=15849\nIs your organizatio
 n’s data ready for AI? Your data architecture? Your privacy and secur
 ity policies? Your governance structure? And of course, your data quality?&
 nbsp;\n \nOne of the difficulties for traditional data management is u
 nderstanding that AI, ML, and data science are different from what has been
  supported for decades. Data professionals are familiar with tables of data
 , not document collections, images, and text. This discussion is focus
 ed on ensuring the required data (in all perspectives) is capable of suppor
 ting your AI initiatives, including questions such as:\n\n
 What are the right strategies for ensuring data quality, accuracy, and reli
 ability for AI?\n	Why are consistency and predictability so important?\n
 And what are the strategies for mitigating bias in AI data? How do you
  even recognize that bias exists?\n\n
DTSTART:20241210T164500
SUMMARY:Panel: Getting Your Data AI Ready
DTEND:20241210T172959
LOCATION: See Description
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